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Análisis informático forense a vehículos aéreos no tripulados (dron)

 

Computer forensic analysis of unmanned aerial vehicles (drones)

 

Carlos Alberto Guerrero Montero. [1]<= /a> & Luis Alberto Pazmińo Gómez. [2]

 

Recibido: 05-08-2021 / Revisado: 17-08-2021 /Aceptado: 08-09-2021/ Publicado: 05-10-2= 021

 

= Abstract.                                         DOI: https://doi.o= rg/10.33262/concienciadigital.v4i4.1884

Introduction. The present research arises from the need-to-know = what information an unmanned vehicle (drone) can store, since, many times they a= re used as a means of entertainment, to do competitions and stunts, but fundamentally, they are used to spy on people or organizations with the aim= of exposing sensitive data that may affect them. Objective. Perform a forensic analysis for the management of information related to unmanned vehicles in the tracking of activities. Methodology. In this researc= h, an experimental method was used from a descriptive-explanatory investigatio= n. In this way, forensic information on unmanned vehicles is obtained for proactive decision making. Results. Recorded media files could be located. Photos and videos were exported for further analysis. EXIF (Exchangeable Image File) data is information embedded within JPEG images. = The EXIF ​​data obtained were: Date, Timestamp, File Source, GPS, Altitude, Altitude Reference, Latitude, Longitude. This information will he= lp determine where and when the photos were taken. Con= clution. The applied methodology is very useful as long as the drone has a removable storage memory, in addition, the application of this methodology can be complemented by having access to radio control devices, whether they are wireless controls, smart devices or computers, since in these devices logs are also stored, applying specific methodologies according to the device obtained.

Keywords: drone, UAV, forensic analysis, Autonomous vehicles.

 

Resumen.

Introducción. La presente <= /span>investigación surge de la necesidad de saber qué información puede almacenar un vehículo no tripulado (dron), ya q= ue, muchas veces se utilizan como medio de diversión, para hacer competencias y acrobacias, pero fundamentalmente, se emplean para espiar a personas u organizaciones con el objetivo de exponer datos sensibles que las pueden afectar. Objetivo. Realizar un análisis forense para la gestión de la información relacionada a los vehículos no tripulados en el rastreo de las actividades. Metodología. En esta investigación se utilizó un método experimental a partir de una investigación descriptiva-explicativa. De esta manera, se obtiene información forense sobre vehículos no tripulados para la toma de decisiones proactivas. Resultados.  Se pudo localiz= ar los archivos multimedia grabados. Las fotos y los vídeos se exportaron para= su posterior análisis. Los datos EXIF (archivo de imagen intercambiable) son información incrustada dentro de imágenes JPEG. Los datos EXIF obtenidos fueron: = Fecha, Marca = de tiempo, Fuente de archivo, GPS, Altitud, Referencia de altitud, Latitud, Longitud. Esta información ayudara a determinar dónde y cuándo se tomaron l= as fotos. Conclusión. La metodología aplic= ada es de gran utilidad siempre y cuando el dron cuente con una memoria de almacenamiento extraíble además se puede complementar la aplicación de esta metodología teniendo acceso a los dispositivos de radio control ya sean man= dos inalámbricos, dispositivos inteligentes o computadoras puesto que en estos = dispositivos también se almacenan logs, aplicando metodologías específicas de acuerdo co= n el dispositivo obtenido.

Palabras claves: Dron, UAV, Análisis forense, Vehículos autónomos.=

 

Intro= ducción.

Los dron= es, también denominados UAV (vehículos aéreos no tripulados) en la literatura, están experimentando un aumento en popularidad en todo el mundo. Aunque inicialmente se describió como tecnología militar sofisticada, se están implementando cada vez más en los sectores comercial y recreativo. Hoy en d= ía, los UAV se utilizan en un amplio espectro de aplicaciones que van desde la fotografía hasta la agricultura, la recuperación de desastres y el mantenimiento de la infraestructura. Sin embargo, la misma tecnología tambi= én se está utilizando para ataques y actividades poco éticas. Estos actos delictivos incluyen la invasión de la privacidad, el contrabando de drogas,= las operaciones terroristas y la alteración de las infraestructuras críticas. La necesidad de investigación de los incidentes antes mencionados ha dado luga= r a la creación de la disciplina Drone Forensics.=

Drone Forensics<= /span>, un subdominio de la ciencia forense digital está especializado en extraer y procesar evidencia de drones y sus componentes asociados de tal manera que = las entidades y acciones atacantes sean identificadas y rastreadas. El análisis forense de drones comprende análisis forense móvil e inalámbrico. La eviden= cia digital puede ser volátil, frágil y vulnerable si no se maneja y examina adecuadamente. Además, con la amplia variedad de drones que se utilizan hoy= en día y la velocidad con la que se desarrollan y cambian, mantener el ritmo p= uede ser un gran desafío para las fuerzas del orden y otras empresas. El campo d= e Drone Forensics es todavía relativamente nuevo, y estos desafíos contribuyen a un escaso apoyo para las herramientas de investigación.

Este documento se centrará en extraer y analizar datos de diferentes modelos de drones, Dron DJI mini 2, Dron carreras” LHI racing drone 250” , Dron Intel aero ready to fly  y = DJI Phantom 3 Profesional, mientras se comparan herramien= tas forenses comerciales y de código abierto. El propósito de este estudio es desarrollar una guía que proporcione a los investigadores y examinadores forenses los conocimientos necesarios para diseńar los estándares y procedimientos adecuados con los que acercarse a los drones en el contexto = de la investigación. La investigación tendrá como objetivo encontrar respuesta= s a las siguientes preguntas:

1.&n= bsp;     żExisten estudios teóricos adecua= dos relacionados con vehículos aéreos no tripulados?

2.&n= bsp;     żExisten metodologías precisas pa= ra obtener información de un dispositivo no tripulado dron?<= /p>

3.&n= bsp;     żLa información forense contribuy= e a la toma de decisiones de los datos pertenecientes a los vehículos no tripulados?

4.&n= bsp;     żLos resultados de la información forense garantizan la no vulnerabilidad de las personas y empresas?

Antecede= ntes

Un vehíc= ulo aéreo no tripulado es un avión sin piloto que se navega de forma remota. Los UAV se consideran parte de un sistema aéreo no tripulado (UAS), que incluye= el UAV en sí, la estación de control de tierra (GCS) y el controlador. Cada un= a de estas partes es necesaria para operar y controlar con éxito y precisión el = UAV. Los UAV actuales varían ampliamente en su capacidad, accesibilidad y asequibilidad, desde sistemas económicos y disponibles comercialmente hasta sistemas de grado militar que requieren una formación e infraestructura sustanciales para su funcionamiento. La clasificación de drones se realiza = de varias formas. Según el Center for a New Americ= an Security, los drones se dividen en cuatro categorías:

1.&n= bsp;     Los drones aficionados se utilizan con fines recreativos o de pasatiempo. No requieren infraestructura formal o capacitación para operar y están disponibles por un precio de compra bajo.<= o:p>

2.&n= bsp;     Drones militares y comerciales de tamańo mediano, requieren infraestructura y entrenamiento formal. Los milit= ares los utilizan principalmente para servicios de vigilancia, reconocimiento o entrega de carga útil.

3.&n= bsp;     Grandes Drones específicos para militares, requieren una infraestructura y entrenamiento militar. Están limitados a aplicaciones militares.

4.&n= bsp;     Stealth= Combat Drones, están integrados con tecnologías altam= ente sofisticadas y no son accesibles para fabricantes comerciales.

Esta investigación se centra en los drones aficionados, debido a su popularidad y disponibilidad en el mercado. Los drones aficionados se están volviendo más innovadores y avanzados en varios aspectos, incluidos hardware, software y redes. Por ejemplo, los drones disponibles en la actualidad están hechos de materiales compuestos ligeros para aumentar la maniobrabilidad y la eficien= cia de vuelo. Son compatibles con sofisticados cardanes para estabilizar la cám= ara, baterías de litio y sensores. Contienen software mejorado con tecnologías de reconocimiento, lo que les permite fijarse en sujetos y seguirlos, detectar= y evitar obstáculos y volver automáticamente a su punto de lanzamiento antes = de quedarse sin batería. Equipados con capacidades tan avanzadas, estos drones recopilan y producen una gran cantidad de datos valiosos que indican patron= es de uso y rendimiento.

Especificaciones

DJI Phantom 3 Profesional

Intel aero ready to fly drone

DJI mini 2

LHI racing drone 250

 

 

 

 

 

Costo (USD)

$900

$1200

$600

$450

Fecha de lanzamiento

2016

2018

2020

2016

Peso

1280 g<= /span>

865 g

249 g

 g

Almacenamiento interno

N/A

32GB eMMC

No

N/A

Almacenamiento externo

No

Tipo de transmisión 

Wi-Fi

Intel Dual Band Wireless-AC 8260

Wi-Fi

Wi-Fi

Resolución de la cámara

UHD

8MP RGB=

RGB: 1920 x 1080 a= t 30 fps

4K

N/A

Tiempo de vuelo

Approx. 23 minutos<= /o:p>

20 minutos

20 minutos

15 minutos

Velocidad máxima (Kph)

57.6 k/h (ATTI mode)

54 k/h<= /span>

57,6 km/h

50

Volver a la ubicación de la casa

No

Sistema operativo<= /b>

 <= /span>

Linux

N/A

N/A

Batería (mAh)<= /p>

4480 mAh

4500 mAh

5200 mAh

11.1 V 1500 mAh 35=

Frecuencia de funcionamiento Ghz

2.400 - 2.483 GHz<= o:p>

2.4 GHz DSMX<= /o:p>

2.400-2.4835 GHz, 5.725-5.850 GHz

2.4 y 5.8

Controlador de vuelo

Controlador inteli= gente

Aero Flight Contro= ller with Dronecode PX4 Autopilot

Controlador inteligente

Sí (aplicación móv= il)

 

Tabla 1. Especificaciones de drones para la investigación

Fuente. Autor.

Revisión= de la literatura

La informática forense ha ganado un gran impacto en la información digital deb= ido al aumento de la información, que puede utilizarse en el nuevo espacio informático de cualquier persona. Según un estudio realizado por (Paruma, s. f.) en la Universidad de Los Andes en Bogotá, mencionaron que cuando ocurren delitos informáticos, la información se almacenará digitalmente. Sin embargo, el sistema informático no se puede operar directamente, por lo que= es necesario obtener evidencia, extraerla, guardarla, analizarla y redactar informes.   

Los dron= es tienen equipos de video integrados, como cámaras que se utilizan para captu= rar imágenes y videos, y se convertirán en posibles herramientas de videovigila= ncia independientemente del consentimiento del objetivo.

En la mayoría estos dispositivos cuentan con dos enlaces de datos, es decir tienen dos frecuencias para su comunicación, uno para el envío de comandos y el ot= ro para recibir información de vuelo. No obstante, es viable descubrir enlaces extras que permiten la comunicación con elementos externos, como la comunicación GPS la cual se hace por satélite o la comunicación por radio control.

 Al igual que los vehículos aéreos no tripulados, hay otros tipos de vehículos de tierra no tripulados en los cua= les se realizaron averiguaciones para establecer su composición interna y permi= tir detectar la viabilidad del estudio forenses para la obtención de datos digitales almacenados en dichos sistemas.

Actualme= nte, existen trabajos y demostraciones relacionados con el análisis forense en equipos no tripulados y vehículos aéreos no tripulados. El contenido más relevante del proyecto de investigación se enumera a continuación.

El Análi= sis Forense a Dones es un campo emergente dentro de la ciencia forense digital = y la aplicación de la ley. En particular, el análisis forense digital de drones aficionados es un desafío porque hay muchos tipos de drones con diferentes elementos técnicos, características y capacidades. No existe una forma está= ndar en que los UAV para aficionados almacenen datos.

(Toro-Alvarez et al., 2018) en su trabajo “Fundamentos= de la investigación forense en ambientes informáticos” nos brinda conceptos básic= os de la ciencia forense para  dispositivos informáticos y los cuidados a tener en cuenta da= da la volatilidad de la información y los desafíos tecnológicos acerca del almacenamiento de la información.

(Tacuri & Maribel, 2012) en su tesis “Investigación Forense: Estudio para determinar los métodos usados en la intrusión del ban= co JBR” explica cada concepto y las normas que se deben seguir para realizar u= na investigación forense de confianza, además se dan a conocer cuáles son las herramientas más apropiadas para realizar una investigación de este tipo, e= stas herramientas nos ayudarán a efectuar desde un simple proceso de recolección= de evidencias hasta la presentación de un análisis.

(Rivas, s. f.) en su trabajo “Metodología para un análisis forense” nos brinda= una perspectiva general sobre la metodología de estudio forense permitiendo que= la prueba logre ser validada de manera correcta en la mayor cantidad de situaciones que se puedan presentar en el ámbito de la informática forense.=

(Bonetti et al., 2013) en su trabajo “A Comprehensive Black-box Methodology for Testing the Forensic Characteristics of Solid-state Driv= es”, propone una metodología genérica, práctica y basada en pruebas que guía a l= os investigadores y analistas forenses a través de una serie de pasos que eval= úan la "compatibilidad forense" de un SSD. La cual servirá en el anál= isis de información almacenada por un DJI matrice 60= 0 ya que su medio de almacenamiento es un ssd <= /o:p>

(Sánchez Herrera & Basantes Salazar, 2016) en su trabajo “Análisis forense a sistemas operativos mediante la utilización de herramientas Open Source, caso estudio Windows 8”, nos presenta un enfo= que de la implementación de herramientas forenses Open Source= (fuente abierta) para la investigación del dispositivo con windows 8. Las cuales pueden ser aplicadas para la situación de análisis que se pretende examinar.

(Manzano & Fabricio, 2015) en su trabajo “DISEŃO DE UN MODELO PARA LA CADENA DE CUSTODIA Y HERRAMIENTAS PARA EL ANÁLISIS FORENSE DE EQUIPOS TECNOLÓGICOS EN PROCESOS JUDICIALES EN EL ECUADOR”, nos presenta los puntos más relevantes = que se tienen que considerar para mantener la cadena de protección en grupos tecnológicos, que acceden en indagaciones por ser pruebas en casos judicial= es.

(Horsman, 2016) en su trabajo “Un= manned aerial vehicles: A = preliminary analysis of forensic challenges”, presenta una discusión introductoria sobre las aeronaves no tripuladas, análisis del vehículo y proporciona los resultados de una investigación for= ense digital de un Parrot de prueba Vehículo aéreo no tripulado Bebop. El cual proporcionara información para adquisición y extracción de datos de un dron=

(Barton & Hannan Bin Azhar, 2017) en su trabajo “Forensic Analysis of Popular UAV Systems”, cubre el uso de herramientas Open Source (código abierto) y el desarrollo de algunos scripts básicos para ayudaren el anális= is forense de dos drones populares: el DJI Phantom= 3 Professional y AR Drone 2 con el objetivo de reconstruir las acciones tomadas por estos drones, identificación de propietarios u operadores y extracción de datos de dispositivos móviles asociados.

(Clark et al., 2017) llevaron a cabo una investigación forense en 2017 del (D= JI Phantom III) y presentaron una herramienta de código abierto forense (DROP) que permite analizar archivos DAT encriptados obteni= dos del almacenamiento interno de un dron. Su trabajo también mostró hallazgos preliminares sobre archivos TXT encriptados que se encuentran en el disposi= tivo móvil que se utiliza para controlar el dron, que proporciona datos valiosos como la ubicación del GPS, el nivel / uso de la batería y el tiempo de vuel= o.

(Bouafif et al., 2018) en su trabajo “Drone Forensics: Challenges and New Insights”, presenta importantes resultados de una investigación forense, realizado en = una prueba Parrot AR drone 2.0, se presentaron nuev= os conocimientos sobre la ciencia forense de drones en términos de acceso a la tecnología digital contenedores de un dron interceptado y recuperando toda = la información que puede ayudar a los investigadores forenses

(Barton & Azhar, 2018) en su trabajo “Open Source Forensics for a Multi-platform Drone System” , informa la extracción e interpretación de información importante que se encuentran en los registros de vuelo registrados en la memoria interna del = UAV y la aplicación de control, así como el análisis de medios, registros y otr= os archivos importantes

(Chamba, s. f.) en su tema de tesis “DISEŃO DE UN MARCO METODOLÓGICO PARA ANÁLI= SIS FORENSE DE DRONES USADOS PARA ESPIONAJE APLICADO A LAS LEYES ECUATORIANAS: = CASO DE ESTUDIO DJI PHANTOM III STANDARD”, explica una metodología para sustracc= ión de prueba digital forense de un dron DJI PHANTOM III STANDARD implementando leyes ecuatorianas, que dejará proteger la totalidad de la información. El = cual aportara la metodología elemental para hacer la investigación forense.

(Kao et al., 2019) en su trabajo “Drone Forensic Investigation: D= JI Spark Drone as A Case Study”, presenta la reconstrucción del crimen en un ambiente de laboratorio para el análisis temporal y los artefactos necesari= os para explorar y evaluar la asociación entre el dron, el teléfono móvil y la tarjeta SD.

(Yousef et al., 2020) en su trabajo “Drone Forensics: A Detailed Analysis of Emerging DJI Models”, analizan los datos extraídos de cuatro model= os de drones para aficionados mientras comparan la aplicabilidad y capacidad de varias herramientas forenses comerciales y de código abierto. Las cuales servirán de sustento para realizar el análisis del presente trabajo

Herramie= ntas

Se emple= aron las siguientes herramientas forenses para analizar los datos de los drones (tanto internos como externos).  Es= tos métodos se seleccionaron en función de su relevancia con los análisis de memoria física:

FTK Imager, una herramienta gratuita la cual permite crea= r de imágenes forenses y vista previa de datos realizada por AccessData. La herramienta es capaz de reconocer la estructura del sistema de archivos, archivos multimedia grabados, búsqueda de palabras clave permitidas, datos = Exif / datos meta (en formato hexadecimal).

Autopsy<= /span>, una plataforma forense digital de código abierto de extremo a extremo construida por Basis Technology, con la mayoría de las características disponibles en otras herramientas forenses comerciales . La herramienta es capaz de reconocer la estructura del sistema de archivos, archivos multimedia grabados, línea de tiempo, mostrar datos Exif, archivos del sistema, miniaturas (se muestran d= e una manera organizada visualmente). 

Exif-too= l, una herramienta para el análisis de metadatos de los distintos archivos encontr= ados, esta herramienta realiza el análisis individual de cada uno de los archivos= y presenta los resultados más detallados a diferencia de autopsy que también permite ver metadatos, pero de una manera más simple.

Datcon, una herramienta que permite desencriptar los archivos con extensión .DAT  y permite exportar la información extraída en formato .txt  .csv , las coordenadas gps en formato .klm

CsvView<= /span>, una herramienta que permite visualizar los archivos con extensión .csv. txt o. Dat exportados con la herramienta antes mencionada y permite visualizar datos c= omo la altitud inclinación velocidad de motores la fecha y hora del evento adem= ás de los mensajes de error que pudo generar el dron, adicional a esto posee un visualizador de las coordenadas gps en un mapa parecido al de google maps=  

Airdata.= com: Es una página web en la cual podemos subir archivos logs para su análisis, = Airdata ha tenido la suerte de ser la primera empresa= en unirse al programa DJI FlightRecord SDK, lo que= le permite decodificar los logs de los modelos más recientes de drones dji y soporta un gran número de marcas de drones para= el análisis de logs entre las características que ofrece esta herramienta web tenemos la Gestión del libro de registro de vuelo, la que permite que Captu= re y registre detalles relevantes de su vuelo para informes y mantenimiento, Análisis del estado de la batería, la cual permite Identificar problemas en celdas de batería individuales, Mapas de sensores, la cual nos permite  observar la conexión de la intensidad d= e la seńal entre el control y la aeronave e identifique las áreas de interferenc= ia

Herramientas de análisis forense

Descripción

Utilización

 

 <= /span>

 <= /span>

Estación de trabajo forense

MS Windows

Estación de trabajo forense

 

Estacion de trabajo virtualizada =

CAIN forencics basado en Ubuntu 14.04

Estacion de trabajo forense basado en linux

Bloqueador de escritura de tarjeta M= icro SD

Adaptador de Micro SD a SD con switch de bloqueo de escritura<= /o:p>

Bloqueador de escritura de hardware

SAFE Block

 

Herramienta de bloqueo de escritura por software<= /p>

Evitar la escritura de datos en dispositivos conectados al pc =

FTK Imager 4.3.1.0

Visor de imágenes forenses/datos

Imágenes, hash, visualización de datos

Autopsy= 4.17.0

Visor de imágenes forenses y analizador de datos forenses

análisis, visualización de datos

CsvView=

Herramienta de archivo DAT/Texto

Análisis. ARCHIVOS DAT

Datcon<= /span> 4.0.4

Herramienta de archivo DAT/Texto

Análisis. ARCHIVOS DAT

ExtractDJI<= /b>

Herramienta de archivo DAT/Texto

Extraer/ descomprimir archivos DJI DAT

 App.airdada.com<= /p>

Herramienta web que permite subir logs para su análisis =

Decodificar logs generados por drones

 

Tabla 2. Herramientas para la investigación

Fuente. = Autor.

Metodologia.

El propó= sito primordial del trabajo presentado en este artículo es preservar, obtener, analizar y examinar los datos suministrados por las muestras de drones seleccionados los cuales fueron incautados simulando un ámbito real , para = lo que hay reglas internacionalmente aceptadas y se encuentran en vigencia, las cuales se adaptan al sistema judicial de Ecuador y explican la mejor manera= de hacer una adecuado análisis forense, las normas más aceptadas por peritos informáticos son: UNE: 71505-3:2013, ISO 27037, RFC 3227,  entre otras.

la metodología es experimental a partir de una investigación descriptiva-explicativa. De esta manera, se obtendrá información forense so= bre vehículos no tripulados para la toma de decisiones proactivas, en la figura1 que se muestra a continuación podemos apreciar la metodología resumida basa= da en el trabajo de (Chamba, s. f.) a aplicarse en esta investigación.

Figura 1. Metodología resumida

Fuente. Autor.

 

La Tabla2 anterior muestra la lista de hardware y software utilizados en el experimento, que comprende los siguientes pasos:

1)    Entorno de prueba y e= quipo: El primer paso implica la incautación o captura de UAVs, sin los controladores remotos = ni dispositivos de control externo. Para lo cual se procedió a solicitar los drones con el último vuelo realizado con el fin de simular un ambiente real= de incautación sin alterar la configuración previa de vuelo seleccionada por el piloto y sin intervención del analista forense.

2)    C= reación de escenarios: Los vuelos se realizaron en diferentes lugares, en diferentes días y en diferentes momentos por cada uno de los pilotos de los drones, Se grabaron vídeos y se capturaron y almacenaron varias imágenes tanto en las memorias internas como externas.

3)    A= dquisición de datos:  se centró en adquirir im= ágenes forenses digitales de cada uno de los UAV.=    Comenzamos esta fase usando    FTK  Imager  para  obtener  una imagen física  de  las tarjetas micro  SD  externas    ubicadas  en  todas las muestras de  drones. Con los drones apagados, se pro= cedió a la extracción de las tarjetas micro SD para luego colocarlas en el bloque= ador de escritura de la tarjeta SD, con el objetivo de evita= r  escrituras de  datos. Después de eso se obtuvo la imag= en usando FTK Imager y se comprobaron los hashes generados. Se extrajeron datos de los componentes restantes de los drones d= e la siguiente manera:

4)&n= bsp;   M= emorias internas: El almacenamiento interno del Dji mini2 se adquirió conectando el dron mientras se enciende a la estación de trabajo forense, y mediante imágenes como si se tratara de una unidad USB estándar.= En este paso lanzamos SAFE Block, un bloqueador de escritura basado en softwar= e, y obtuvimos las imágenes del DJI mini 2 Pro usando FTK I= mager.

= Resultados.

Esta sección proporciona un análisis y comparación= de las muestras de drones seleccionados en términos de su preparación para el análisis forense. El propósito es determinar la aplicabilidad y capacidad de las herramientas forenses actualmente disponibles para analizar los datos de estos drones, se recuperaron y analizaron los siguientes tipos de datos:

= a)    Medios grabados

Mientras se examinó las imágenes forenses obtenida= s de las micro SD externas tanto del dji phantom 3 Pro como del drone dji mini 2, se pudo localizar los archivos multimedia grabados. Estos archivos se pueden encontrar en la carpeta "/DCIM/100MEDIA".   El fo= rmato de los archivos es JPEG para  imágenes  y  MP4  para  vídeos. El nombre de l= os archivos consiste en de un prefijo DJI" seguido de un número de 4 dígitos que se mueve hacia arriba cada vez que se crea un nuevo archivo, por ejemplo (DJI0001. MP4).

Las fotos y los vídeos se exportaron para su poste= rior análisis.

= b)    Datos EXIF

Los datos EXIF (archivo de imagen intercambiable) = son información incrustada dentro de imágenes JPEG. Las herramientas utilizadas fueron autopsy y exif tool, pudieron analizar y mostrar datos   EXIF, la herramienta exif analizo los datos mejor que autopsy. Los datos = EXIF obtenidos fueron:

Fecha, Marca de tiempo, Fuente de archivo, GPS, Altitud, Referencia de altitud, Latitud, Longitud. Esta información ayudara= a determinar dónde y cuándo se tomaron las fotos.

También vale la pena mencionar que los drones al e= star asociados o vinculados con un dispositivo inteligente tomo como referencia = la configuración de hora y fecha del dispositivo, y al modificar el sistema de tiempo en el dispositivo inteligente, los archivos creados por los drones tendrían la marca de tiempo modificada.

= c)    Datos de registro de vuelo DJI Dron, archivos <= span class=3DSpellE>BlackBox

DATfiles: Los archivos internos del dron adquiridos con la herramienta FTK imager eran archivos de datos c= on un formato (.dat). Estos archivos guardan datos bi= narios que sólo pueden ser  decodificados  por  la  aplicación que los generó. Los archivos de registro tienen numerosos parámetros relacionados con la ubicación y la velocidad. Los archivos DAT encontrados fueron nombrados utilizando una convención de nomenclatura está= ndar de: AAAA-MM- DD_[HH-MM- SS]-(Número de serie de = los drones).dat.  =

Se utilizó una herramienta común, CsvView/Datcon, para realizar esta tarea además de la herrami= enta autopsy que en sus últimas versiones posee un módulo = para decodificar estos archivos. La herramienta se descargó e instaló en la esta= ción de trabajo, y los archivos DAT comprimidos se extrajeron utilizando EXTRACT= DJI, una herramienta dentro de Datcon. A continuació= n, los archivos se cargaron en CsvView obteniendo el siguiente análisis.

      = DJI Phantom 3:luego de aplicar la metodologia y analizar la imágenes forenses se observa lo siguiente: en la micro sd del gimbal solo se obt= uvo imágenes y videos que contenían metadatos que brindan información muy útil = como la posición de dron mediante los datos gps en c= ada una de las imágenes y de los videos, además de la altura y fecha en la que = se tomaron las imágenes y los videos respectivamente, al analizar los videos se encontraron videos con dos formatos diferentes con extensión.mov y con extensión .mp4 lo inusual sucedió con los archivos .mo= v ya que no poseían metadatos de la posición gps = ni de la altura solo posen metadatos de la fecha de creación, modificación y acce= so , en el caso de los videos con formato .mp4 además de los metadatos de fechas= de modificación, creación y acceso si se pudo encontrar metadatos de posición = gps  aunque n= o de altitud.

 

En la microSD interna se encontraron varios archivos con extensión .DAT los mi= smos que contenían en su interior datos muy importantes como la velocidad ubicac= ión y altura del dron así como registros de errores ademas= de información como la velocidad de los motores, inclinación del dispositiv= o, para obtener esta información fue necesario analizar estos archivos con la herramienta DatCon y CsvVi= ew las cuales  brindan mucha informaci= ón de cada uno de los archivos .DAT encontrados, esta tarea se vuelve un tanto monótona ya que no todos estos archivos poseen datos g= ps que son los que resultan interesantes para esta invest= igacion, otros simplemente tienen registros de errores por lo que ayudarse de la herramienta autopsy es de mucha ayuda ya que la= misma si pudo analizar estos archivos .DAT y muestra un resultado agrupado de cua= les poseen datos de gps, estos archivos no poseen metadatos relevantes ya que la información útil se encuentra en el interior= de estos archivos, la información de los metadatos se limita a la fecha de acc= eso modificación y creación del archivo y los permisos que posee el archivo en = es te caso es rw.

Figura 2. Rutas de vuelo obtenidas de archivos .DAT

Fuente. Autor.

      = LHI racing drone 250: Este dispositivo no cuenta con almacenamiento externo de datos ni ranura para micro sd por lo cual no se puede aplicar la metodología pro= puesta debido a la falta de memorias de almacenamiento externo, sin embargo el dispositivo posee una memoria de 64kbits para alojar el firmware del dispositivo, el cual es el encargado de controlar el funcionamiento del mis= mo, este dispositivo posee un diseńo muy ligero y compacto debido a su propósit= o el cual es alcanzar la mayor velocidad y poder realizar maniobras aéreas por lo que su diseńo no incorpora gps ni Cámara para aligerar el peso y no sobrecargar el procesamiento del dispositivo, los componentes son los esenciales para realizar un vuelo y aligerar el peso de= la aeronave, los motores y la batería son de gran tamańo permitiéndole alcanzar grandes velocidades y buena autonomía.

Figura 3. Componentes de Racing dron

Fuente. Autor.

      Dron Dji mini 2: Este disposi= tivo solo posee una memoria externa de fácil acceso en la cual se almacenan los datos que registra el dron en una carpeta con el nombre log y en su interio= r se encuentran tres archivos que son logs del sistema logs de la cámara y log de vuelo los cuales encuentran encriptados , junto a esta carpeta se encuentran una carpeta con el nombre 100media la cual contiene los archivos multimedia creados por el dron. , los datos de vuelo se extraen con un software propio= del dron llamado dji asistant<= /span> el cual genera un archivo encriptado llamado “EXPORT_FILE_2021-02-24_19-31-55.DAT” a este archivo se lo proceso con las herramientas DATCON y CsvView sin lograr result= ados ya que el método de encriptación es nuevo dando como consecuencia archivos = de 0 KB, los datos de vuelo como altitud, posiciones gps se las obtuvieron a partir de los metadatos de las imágenes y videos con las herramientas autopsy y exi= f tool, esta última brindo mayor cantidad de meta= datos y de una forma más ordenada para el análisis individual de los archivos multimedia, se logró obtener los datos de vuelo y las ubicaciones gps incluyendo número de serie y nombre del dispositi= vo mediante una página web https://app.airdata.com en la cual se creó una cuenta y luego se  ingresó el usuario y la clave de acceso de la cuenta dji de la persona que opero la aeronave, luego de unos momentos se pudo observa= r cómo se sincronizaban los datos que están en la nube permitiendo observar los da= tos de vuelo, los logs y toda la actividad realizada por el dron, además esta p= ágina permite subir archivos logs  manual= mente para su análisis volviéndose muy útil para esta investigación.

Figura 4. Posiciones Gps obtenidas de los metadatos con Autopsy

Fuente. Autor.

 

Figura 5. Información obtenida de = la página web app.airdata.com

Fuente. Autor.

      = Intel aero Ready to fly: este dispositivo posee una ranura para microSD además de una ranura pci expres para conectar = un disco duro con formato M.2 ssd , ademas de una memoria interna de 32Gb en formato emmc = como disco duro y 4 gb de memoria ram LDDR3 a 1600 Mhz las cuales estan soldadas a la placa cabe mencionar que este dron posee un microprocesador I= ntel atom y un puerto de comunicaciones micro usb 3.0 otg por esta razó= n posee una arquitectura muy parecida al de una computadora, al momento de realizar= el análisis el dispositivo no contaba con ninguna unidad de almacenamiento ext= erna ni microSD ni disco duro ssd solo funciono con = el sistema operativo interno que se encuentra instalado en la memoria emmc interna por lo cual la metodología planteada par= a el análisis no es aplicable al no poseer un dispositivo de almacenamiento extraíble, se trató de buscar archivos multimedia en la memoria interna con= el dispositivo encendido y por una conexión ssh sin lograr ningún resultado, lo que si se pudo observar es que la memoria inter= na posee tres particiones una partición de 28 Mb para el arranque en formato <= span class=3DSpellE>efi, la segunda partición de 27.7 gb para el sistema de archivos que está basado en Linux sin interface grafica = por defecto aunque el fabricante indica que se lo puede instalar Ubuntu Desktop= en la versión 16.04.X pero se recomienda la versión 16.04.3 en esta ya tendría interface gráfica, y la tercera partición de 1.5 Gb como memoria de interca= mbio swap, este análisis se lo hizo sin aplicar un procedimiento forense ya que = la memoria se encuentra soldad a la placa y se necesitaría extraerá y un dispositivo especial para su lectura que no se encuentra en el país además = que para volver a soldar esta memoria se volvería muy complicado por la necesid= ad de una estación de soldadura especial, por lo que se optó por sacar una ima= gen forense con el dispositivo encendido, insertando una memoria micro sd de 64 gb para posterior formatearla en formato ext4 y montarla en el sistema ya que no permitía montarla con el formato fat 32 que viene por de= fecto la micro sd, posterior a esto se creo la imagen forense con el comando dd para poster= ior analizar esta imagen con las herramientas antes mencionadas y concluyendo q= ue no se encontraron archivos multimedia solo se pudo explorar los archivos del sistema que no brindaron información útil para esta investigaciones que los archivos de registro del sistema se encuentran encriptados por el sistema operativo y no se pudo extraer la información con las herramientas plantead= as .

Figura 6. Componentes de dron Intel Aero Ready to= fly

Fuente. Autor.

 

Conclusiones.

·&nb= sp;        LHI racing drone 250: Este dispositivo no genera archivos de registro ya que no posee una memoria= de almacenamiento y al no poseer Cámara ni gps tam= poco guarda evidencia multimedia, por lo cual se puede concluir que la metodolog= ía no puede ser aplicada debido a la falta de las mismas, sin embargo el dispositivo posee una memoria de 64kbits para alojar el firmware del dispositivo en formato hexadecimal, el cual es el encargado de controlar el funcionamiento del mismo, y sería la única información que posee este dispositivo y no resulta relevante para esta investigación, además posee un diseńo muy ligero y compacto debido a su propósito el cual es alcanzar la m= ayor velocidad y poder realizar maniobras aéreas por lo que su diseńo no incorpo= ra gps ni Cámara para aligerar el peso y no sobrecargar = el procesamiento del dispositivo.

En esta familia de dispositivos que es= tán orientados a la velocidad se puede encontrar nuevas versiones como la controladora SP Racing F3 Evo la cual permite insertar una microSD como almacenamiento interno, para funcionar como caja negra (black box) el cual almacena los datos de vuelo(Flight = Data Logs) y se lo podría analizar en una futura investigación.

·      =    El dron Dji mini2 guarda los datos de vuelos y los archivos multimedia en una misma microsd por esta razón = no es necesario desmantelar el dron para acceder a los mismos ya que se encuentra= n en la parte trasera y son de fácil acceso por lo cual de este dron solo se obt= uvo una imagen forense para su análisis, para una posterior investigación se sugiere realizar un análisis de la encriptación de este modelo de dron para= la obtención de los datos de vuelo.

·&nb= sp;        El dron Dji phantom 3 profesional= posee una memoria para el almacenamiento multimedia de fácil acceso colocado en e= l gimbal de la cámara y además posee una tarjeta microSD adicional en el interior de la tarjeta madre de difícil acceso por lo cual = se tuvo que desarmar el dron para acceder a la misma, por esta razón se genera= ron dos imágenes forenses para el análisis la una con datos multimedia y la otra solo con datos de vuelo , los archivos generados por este mode= los fueron cifrados y se pudieron procesar utilizando CsvV= iew/Datcon para una mejor visualización se exportaron la ubicaciones gps a Google E= arth mediante la herramienta autopsy. Cabe mencionar= que en este modelo de dron la información obtenida de la ubicación gps de los metadatos se pude contrastar con la inform= ación gps obtenida de los archivos .DAT de la segunda microsd 

·         Dron Intel Aero Ready to fly: Este dispositivo no tenía ninguna memoria de almacenamiento interno conecta= da al mismo al momento del análisis, sin embargo se tuvo que adaptar la metodología para investigar  su mem= oria interna ( no extraíble) ,  se proce= dió a insertar una microsd y crear una imagen forense= del sistema raíz con el comando dd y con el disposi= tivo encendido para su posterior análisis concluyendo que con las herramientas planteadas no se pudo extraer información relevante para esta investigación= ya que los datos de vuelo están encriptados por el sistema operativo, se sugie= re crear una metodología especifica en una posterior trabajo para este tipo de dron ya que su arquitectura se asemeja más al de una computadora que a la mayoría de drones comerciales y en condiciones de laboratorio controladas ya que este dron posee muchas variables que lo diferencian como el sistema operativo basado en Linux que le permite ser más configurable ya que puede = ser programado en Python para realizar tareas específicas, la opción de ańadirl= e un disco duro ssd además de la opción de almacenam= iento por microSD y el control se lo realiza con un mando y una computadora lo que requeriría una investigación más profunda en este dron tan complejo.  

La metodología aplicada es de gran utilidad siempre y cuando el dron cuente con una memoria de almacenamiento extraíble además se puede complementar la aplicación de esta metodología teniendo acceso a los dispositivos de radio control ya sean mandos inalámbricos, dispositivos inteligentes o computador= as puesto que en estos dispositivos también se almacenan logs, aplicando metodologías específicas de acuerdo con el dispositivo obtenido.=

Referencias bibliográficas.

Barton, T. E. A., & Azhar, M. A. H. B. (2018). Open Source Forensics for a Multi-platform Drone System. En= P. Matoušek & M. Schmiedecker (Eds.), Digital Forensics and Cyber Crime = (pp. 83-96). Springer International Publishing. https://doi.org/10.1007/978-3-319-73697-6_6

Barton, T. E. A., & Hannan Bin Azhar, M. A. (2017). Forensic analysis of popular UAV systems. 2017 Seventh International Conference on Emerging Security Technologies (EST), 91-96. https://doi.org/10.1109/EST.2017.8090405

Bonetti, G., Viglione, M., Frossi, A., Maggi, F., & Zanero, S. (2013). A comprehensive black-box methodolo= gy for testing the forensic characteristics of solid-state drives. Proceedings= of the 29th Annual Computer Security Applications Conference, 269-278. https://doi.org/10.1145/2523649.2523660

Bouafif, H., Kamoun, F., Iqbal, F= ., & Marrington, A. (2018). Drone Forensics: Challenges and New Insights. = 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS), 1-6. https://doi.org/10.1109/NTMS.2018.8328747

Chamba, J. R. J. (s. f.). DI= SEŃO DE UN MARCO METODOLÓGICO PARA ANÁLISIS FORENSE DE DRONES USADOS PARA ESPION= AJE APLICADO A LAS LEYES ECU. 72.

Clark, D. R., Meffert, C., Baggil= i, I., & Breitinger, F. (2017). DROP (DRone Open source Parser) your drone: Forensic analysis of the DJI Phantom III. Digital Investigation, 22, S3-S14. https://doi.org/10.1016/j.diin.2017.06.013

Horsman, G. (2016). Unmanned aeri= al vehicles: A preliminary analysis of forensic challenges. Digital Investigat= ion, 16, 1-11. https://doi.org/10.1016/j.diin.2015.11.002

Kao, D.-Y., Chen, M.-C., Wu, W.-Y= ., Lin, J.-S., Chen, C.-H., & Tsai, F. (2019). Drone Forensic Investigatio= n: DJI Spark Drone as A Case Study. Procedia Computer Science, 159, 1890-1899. https://doi.org/10.1016/j.procs.2019.09.361

Manzano, A., & Fabricio, M. (2015). DISEŃO DE UN MODELO PARA LA CADENA DE CUSTODIA Y HERRAMIENTAS PARA = EL ANÁLISIS FORENSE DE EQUIPOS TECNOLÓGICOS EN PROCESOS JUDICIALES EN EL ECUAD= OR [Thesis, Universidad Internacional SEK]. http://localhost:8080/xmlui/handle/123456789/1417<= /p>

Paruma, Ó. A. L. (s. f.). INFORMÁTICA FORENSE : GENERALIDADES, ASPECTOS TÉCNICOS Y HERRAMIENTAS. 22.

Rivas, G. (s. f.). Metodolog= ía para un análisis forense. 55.

Sánchez Herrera, K. E., & Basantes Salazar, C. A. (2016). Análisis forense a sistemas operativos medi= ante la utilización de herramientas Open Source, caso estudio Windows 8. http://repositorio.espe.edu.ec/jspui/handle/21000/11954

Tacuri, J., & Maribel, A. (20= 12). Análisis del Crimen Cibernético en la Actualidad en la Ciudad de Cuenca. http://repositorio.uisrael.edu.ec/handle/47000/581=

Toro-Alvarez, M., Jaimes, W., &am= p; Ortiz, E. (2018). Fundamentos de la investigación forense en ambientes info= rmáticos. https://doi.org/10.13140/RG.2.2.20143.79523

Yousef, M., Iqbal, F., & Huss= ain, M. (2020). Drone Forensics: A Detailed Analysis of Emerging DJI Models. 2020 11th International Conference on Information and Communication Systems (ICI= CS), 066-071. https://doi.org/10.1109/ICICS49469.2020.239530

 

 

 

 

 

 

 

 

 

 

 

PARA CITAR EL ARTÍCULO INDEXADO.

 

 

Guerrero Monte= ro, C. A., & Pazmińo Gómez, L. A. (2021). Análisis informático forense a vehículos aéreos no tripulados (dron) . ConcienciaDigi= tal, 4(4), 51-69. https://doi.org/10.33262/concienciadigital.v4i4.1884

 

 


 

 

 

El artículo que se publica es de exclusiva responsabilidad de los autores y no necesariamente reflejan el pensamiento de la Revista Concienc= ia Digital.

 

El artículo qu= eda en propiedad de la revista y, por tanto, su publicación parcial y/o total en otro medio tiene que ser autorizado por el director de la Revista Conciencia Digital.

 

                                                 =                                                                            =                       

 

 



[1] Pontificia Universidad Católica del Ecuador Sede Ambato, Escuela de Postgrado, Maestrí= a en Ciberseguridad. Ambato, Ecuador, carlos.= a.guerrero.m@pucesa.edu.ec, https://orcid.org/0000-0002-9283-5763

[2] Pontificia Universidad Católica= del Ecuador Sede Ambato, Escuela de Postgrado, Maestría en Ciberseguridad. Amba= to, Ecuador, lpazmino@pucesa.edu.ec, https://orcid.org/0000-0001-9913-0806=

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                                                   =                   Vol. 4, N°4, p. 51-69, octubre-diciembre, 20 21

Mundo Digital                                                =                                                                      =                                  Página 28<= /span><= w:sdtPr>

 

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