IoD: Sus defectos y vulnerabilidades en casos de la vida real

El objetivo de esta tesis es realizar una investigación sobre los distintos ataques realizados a drones según la clasificación sobre los distintos ataques existentes en lo que puede ser llamado IoD (Internet of Drones)

Autores:: Robles Quevedo, Carlos Eduardo

Tipo de recurso:: Trabajo de grado de pregrado

Fecha de publicación:: 2022

Institución:: Universidad de los Andes

Repositorio:: Séneca: repositorio Uniandes

Idioma:: spa
eng

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dc.title.spa.fl_str_mv	IoD: Sus defectos y vulnerabilidades en casos de la vida real
title	IoD: Sus defectos y vulnerabilidades en casos de la vida real
spellingShingle	IoD: Sus defectos y vulnerabilidades en casos de la vida real IoD IoT Internet of Drones Internet of Things Spoofing Jamming Snoopy attack Skyjet attack Skyjack attack Maldrone Man-in-the-middle Eavesdropping Wormhole Informacion fraudulenta Alteracion en distancia Piloto automático Ataque acústico Ingeniería
title_short	IoD: Sus defectos y vulnerabilidades en casos de la vida real
title_full	IoD: Sus defectos y vulnerabilidades en casos de la vida real
title_fullStr	IoD: Sus defectos y vulnerabilidades en casos de la vida real
title_full_unstemmed	IoD: Sus defectos y vulnerabilidades en casos de la vida real
title_sort	IoD: Sus defectos y vulnerabilidades en casos de la vida real
dc.creator.fl_str_mv	Robles Quevedo, Carlos Eduardo
dc.contributor.advisor.none.fl_str_mv	Donoso Meisel, Yezid Enrique
dc.contributor.author.none.fl_str_mv	Robles Quevedo, Carlos Eduardo
dc.subject.keyword.eng.fl_str_mv	IoD IoT Internet of Drones Internet of Things Spoofing Jamming Snoopy attack Skyjet attack Skyjack attack Maldrone Man-in-the-middle Eavesdropping Wormhole
topic	IoD IoT Internet of Drones Internet of Things Spoofing Jamming Snoopy attack Skyjet attack Skyjack attack Maldrone Man-in-the-middle Eavesdropping Wormhole Informacion fraudulenta Alteracion en distancia Piloto automático Ataque acústico Ingeniería
dc.subject.keyword.spa.fl_str_mv	Informacion fraudulenta Alteracion en distancia Piloto automático Ataque acústico
dc.subject.themes.none.fl_str_mv	Ingeniería
description	El objetivo de esta tesis es realizar una investigación sobre los distintos ataques realizados a drones según la clasificación sobre los distintos ataques existentes en lo que puede ser llamado IoD (Internet of Drones)
publishDate	2022
dc.date.issued.none.fl_str_mv	2022-07-01
dc.date.accessioned.none.fl_str_mv	2023-11-02T13:00:48Z
dc.date.available.none.fl_str_mv	2023-11-02T13:00:48Z
dc.type.none.fl_str_mv	Trabajo de grado - Pregrado
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url	https://hdl.handle.net/1992/70973
identifier_str_mv	instname:Universidad de los Andes reponame:Repositorio Institucional Séneca repourl:https://repositorio.uniandes.edu.co/
dc.language.iso.none.fl_str_mv	spa eng
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dc.relation.references.none.fl_str_mv	Abbaspour, A., Yen, K. K., Noei, S., & Sargolzaei, A. (2016). Detection of Fault Data Injection Attack on UAV Using Adaptive Neural Network. Procedia Computer Science, 95, 193–200. https://doi.org/10.1016/j.procs.2016.09.312 Actualidad Aeroespacial. (2019, 4 julio). Un dron interrumpe durante una hora el tráfico aéreo en el aeropuerto de Francfort. https://actualidadaeroespacial.com/26764-2/ Ahmed, M., & Pathan, A. S. K. (2020). False data injection attack (FDIA): an overview and new metrics for fair evaluation of its countermeasure. Complex Adaptive Systems Modeling, 8(1). https://doi.org/10.1186/s40294-020-00070-w Altawy, R., & Youssef, A. M. (2016). Security, Privacy, and Safety Aspects of Civilian Drones. ACM Transactions on Cyber-Physical Systems, 1(2), 1–25. https://doi.org/10.1145/3001836 Al-Turjman, F., Abujubbeh, M., Malekloo, A., & Mostarda, L. (2020). UAVs assessment in software-defined IoT networks: An overview. Computer Communications, 150, 519–536. https://doi.org/10.1016/j.comcom.2019.12.004 Arteaga, S. P., Hernandez, L. A. M., Perez, G. S., Orozco, A. L. S., & Villalba, L. J. G. (2019). Analysis of the GPS Spoofing Vulnerability in the Drone 3DR Solo. IEEE Access, 7, 51782–51789. https://doi.org/10.1109/access.2019.2911526 Arthur, M. P. (2019). Detecting Signal Spoofing and Jamming Attacks in UAV Networks using a Lightweight IDS. 2019 International Conference on Computer, Information and Telecommunication Systems (CITS). https://doi.org/10.1109/cits.2019.8862148 Chen, W., Dong, Y., & Duan, Z. (2019). Compromising Flight Paths of Autopiloted Drones. 2019 International Conference on Unmanned Aircraft Systems (ICUAS). https://doi.org/10.1109/icuas.2019.8798162 CISCO. (2022, 1 abril). What is Malware? https://www.cisco.com/c/en/us/products/security/advanced-malware-protection/what-is-malware.html CNBC, & Zaleski, A. (2016, 3 febrero). The biggest hijacking threat Americans face today. CNBC. https://www.cnbc.com/2016/02/01/the-biggest-hijacking-threat-americans-face-today.html Cunha, D. (2021, 28 diciembre). Qué es un ataque de Man in the Middle y cómo funciona. WeLiveSecurity by ESET. https://www.welivesecurity.com/la-es/2021/12/28/que-es-ataque-man-in-the-middle-como-funciona/ Fatima-tuz-Zahra, Jhanjhi, N., Brohi, S. N., & Malik, N. A. (2019). Proposing a Rank and Wormhole Attack Detection Framework using Machine Learning. 2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS). https://doi.org/10.1109/macs48846.2019.9024821 Fb1h2s. (2015). Maldrone the First Backdoor for drones. - Blogs. Garage4hackers. http://garage4hackers.com/entry.php?b=3105 Fink, E. (2014, 20 marzo). This drone can steal what’s on your phone. CNNMoney. https://money.cnn.com/2014/03/20/technology/security/drone-phone/ HackRead, & W. (2016, 3 enero). US Border Patrol Drones Hacked by Drug Cartels. HackRead. https://www.hackread.com/us-border-patrol-drones-hacked-by-drug-cartels/ He, D., Chan, S., & Guizani, M. (2017). Drone-Assisted Public Safety Networks: The Security Aspect. IEEE Communications Magazine, 55(8), 218–223. https://doi.org/10.1109/mcom.2017.1600799cm He, D., Qiao, Y., Chan, S., & Guizani, N. (2018). Flight Security and Safety of Drones in Airborne Fog Computing Systems. IEEE Communications Magazine, 56(5), 66–71. https://doi.org/10.1109/mcom.2018.1700916 Hu, Y. C., Perrig, A., & Johnson, D. (2003). Packet leashes: a defense against wormhole attacks in wireless networks. IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428). https://doi.org/10.1109/infcom.2003.1209219 Kamkar, S. (2013). Samy Kamkar - SkyJack: autonomous drone hacking. Samy. https://samy.pl/skyjack/ Karimibiuki, M., Aibin, M., Lai, Y., Khan, R., Norfield, R., & Hunter, A. (2019). Drones’ Face off: Authentication by Machine Learning in Autonomous IoT Systems. 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). https://doi.org/10.1109/uemcon47517.2019.8992931 Kelion, B. L. (2013, 4 diciembre). Parrot drones «vulnerable to flying hack attack». BBC News. https://www.bbc.com/news/technology-25217378 M. (2018, 20 noviembre). Snoopy Drone Hacks Smartphones While Airborne. Internet Speed Test. https://testinternetspeed.org/blog/snoopy-drone-hacks-smartphones-while-airborne/ National Institute of Standards and Technology. (2007, abril). Guidelines for Securing Radio Frequency Identification (RFID) Systems. https://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-98.pdf Paganini, P. (2014, 24 marzo). Snoopy software can turn a drone is a data stealer. Security Affairs. https://securityaffairs.co/wordpress/23374/hacking/snoopy-drone-data-stealer.html Perazzo, P., Ariyapala, K., Conti, M., & Dini, G. (2015). The verifier bee: A path planner for drone-based secure location verification. 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM). https://doi.org/10.1109/wowmom.2015.7158150 Samy Kankar. (2013, 3 diciembre). SkyJack - autonomous drone hacking w/Raspberry Pi, aircrack & Javascript [Vídeo]. YouTube. https://www.youtube.com/watch?v=EHKV01YQX_w Sasi, R. [Rahul Sasi]. (2015, 26 enero). First Backdoor for Drones. Maldrone aka Malware for Drones [Vídeo]. YouTube. https://youtu.be/5SlWdl4ZuAI Shane, S., & Sanger, D. E. (2011, 8 diciembre). Drone Crash in Iran Reveals Secret U.S. Surveillance Bid. The New York Times. https://www.nytimes.com/2011/12/08/world/middleeast/drone-crash-in-iran-reveals-secret-us-surveillance-bid.html Son, Y., Shin, H., Kim, D., Park, Y., Noh, J., Choi, K., Choi, J., Kim, Y., & Korea Advanced Institute of Science and Technology. (2015). Rocking Drones with Intentional Sound Noise on Gyroscopic Sensors. USENIX, 881–896. https://www.usenix.org/conference/usenixsecurity15/technical-sessions/presentation/son Viana, J., Farkhari, H., Campos, L. M., Sebastiao, P., Cercas, F., Bernardo, L., & Dinis, R. (2022). Two methods for Jamming Identification in UAVs Networks using New Synthetic Dataset. Cornell University. https://doi.org/10.48550/arXiv.2203.11373 Wilkinson, G. (2014, 3 agosto). The Machines That Betrayed Their Masters by Glenn Wilkinson [Vídeo]. YouTube. https://www.youtube.com/watch?v=GvrB6S_O0BE Yaacoub, J. P., Noura, H., Salman, O., & Chehab, A. (2020). Security analysis of drones systems: Attacks, limitations, and recommendations. Internet of Things, 11, 100218. https://doi.org/10.1016/j.iot.2020.100218 Yahuza, M., Idris, M. Y. I., Ahmedy, I. B., Wahab, A. W. A., Nandy, T., Noor, N. M., & Bala, A. (2021). Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges. IEEE Access, 9, 57243–57270. https://doi.org/10.1109/access.2021.3072030
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spelling	Donoso Meisel, Yezid EnriqueRobles Quevedo, Carlos Eduardo2023-11-02T13:00:48Z2023-11-02T13:00:48Z2022-07-01https://hdl.handle.net/1992/70973instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/El objetivo de esta tesis es realizar una investigación sobre los distintos ataques realizados a drones según la clasificación sobre los distintos ataques existentes en lo que puede ser llamado IoD (Internet of Drones)Ingeniero de Sistemas y ComputaciónPregrado24 páginasapplication/pdfspaengUniversidad de los AndesIngeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería Sistemas y ComputaciónCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2IoD: Sus defectos y vulnerabilidades en casos de la vida realTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1fTexthttp://purl.org/redcol/resource_type/TPIoDIoTInternet of DronesInternet of ThingsSpoofingJammingSnoopy attackSkyjet attackSkyjack attackMaldroneMan-in-the-middleEavesdroppingWormholeInformacion fraudulentaAlteracion en distanciaPiloto automáticoAtaque acústicoIngenieríaAbbaspour, A., Yen, K. K., Noei, S., & Sargolzaei, A. (2016). Detection of Fault Data Injection Attack on UAV Using Adaptive Neural Network. Procedia Computer Science, 95, 193–200. https://doi.org/10.1016/j.procs.2016.09.312Actualidad Aeroespacial. (2019, 4 julio). Un dron interrumpe durante una hora el tráfico aéreo en el aeropuerto de Francfort. https://actualidadaeroespacial.com/26764-2/Ahmed, M., & Pathan, A. S. K. (2020). False data injection attack (FDIA): an overview and new metrics for fair evaluation of its countermeasure. Complex Adaptive Systems Modeling, 8(1). https://doi.org/10.1186/s40294-020-00070-wAltawy, R., & Youssef, A. M. (2016). Security, Privacy, and Safety Aspects of Civilian Drones. ACM Transactions on Cyber-Physical Systems, 1(2), 1–25. https://doi.org/10.1145/3001836Al-Turjman, F., Abujubbeh, M., Malekloo, A., & Mostarda, L. (2020). UAVs assessment in software-defined IoT networks: An overview. Computer Communications, 150, 519–536. https://doi.org/10.1016/j.comcom.2019.12.004Arteaga, S. P., Hernandez, L. A. M., Perez, G. S., Orozco, A. L. S., & Villalba, L. J. G. (2019). Analysis of the GPS Spoofing Vulnerability in the Drone 3DR Solo. IEEE Access, 7, 51782–51789. https://doi.org/10.1109/access.2019.2911526Arthur, M. P. (2019). Detecting Signal Spoofing and Jamming Attacks in UAV Networks using a Lightweight IDS. 2019 International Conference on Computer, Information and Telecommunication Systems (CITS). https://doi.org/10.1109/cits.2019.8862148Chen, W., Dong, Y., & Duan, Z. (2019). Compromising Flight Paths of Autopiloted Drones. 2019 International Conference on Unmanned Aircraft Systems (ICUAS). https://doi.org/10.1109/icuas.2019.8798162CISCO. (2022, 1 abril). What is Malware? https://www.cisco.com/c/en/us/products/security/advanced-malware-protection/what-is-malware.htmlCNBC, & Zaleski, A. (2016, 3 febrero). The biggest hijacking threat Americans face today. CNBC. https://www.cnbc.com/2016/02/01/the-biggest-hijacking-threat-americans-face-today.htmlCunha, D. (2021, 28 diciembre). Qué es un ataque de Man in the Middle y cómo funciona. WeLiveSecurity by ESET. https://www.welivesecurity.com/la-es/2021/12/28/que-es-ataque-man-in-the-middle-como-funciona/Fatima-tuz-Zahra, Jhanjhi, N., Brohi, S. N., & Malik, N. A. (2019). Proposing a Rank and Wormhole Attack Detection Framework using Machine Learning. 2019 13th International Conference on Mathematics, ActuarialScience, Computer Science and Statistics (MACS). https://doi.org/10.1109/macs48846.2019.9024821Fb1h2s. (2015). Maldrone the First Backdoor for drones. - Blogs. Garage4hackers. http://garage4hackers.com/entry.php?b=3105Fink, E. (2014, 20 marzo). This drone can steal what’s on your phone. CNNMoney. https://money.cnn.com/2014/03/20/technology/security/drone-phone/HackRead, & W. (2016, 3 enero). US Border Patrol Drones Hacked by Drug Cartels. HackRead. https://www.hackread.com/us-border-patrol-drones-hacked-by-drug-cartels/He, D., Chan, S., & Guizani, M. (2017). Drone-Assisted Public Safety Networks: The Security Aspect. IEEE Communications Magazine, 55(8), 218–223. https://doi.org/10.1109/mcom.2017.1600799cmHe, D., Qiao, Y., Chan, S., & Guizani, N. (2018). Flight Security and Safety of Drones in Airborne Fog Computing Systems. IEEE Communications Magazine, 56(5), 66–71. https://doi.org/10.1109/mcom.2018.1700916Hu, Y. C., Perrig, A., & Johnson, D. (2003). Packet leashes: a defense against wormhole attacks in wireless networks. IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer andCommunications Societies (IEEE Cat. No.03CH37428). https://doi.org/10.1109/infcom.2003.1209219Kamkar, S. (2013). Samy Kamkar - SkyJack: autonomous drone hacking. Samy. https://samy.pl/skyjack/Karimibiuki, M., Aibin, M., Lai, Y., Khan, R., Norfield, R., & Hunter, A. (2019). Drones’ Face off: Authentication by Machine Learning in Autonomous IoT Systems. 2019 IEEE 10th Annual Ubiquitous Computing,Electronics & Mobile Communication Conference (UEMCON). https://doi.org/10.1109/uemcon47517.2019.8992931Kelion, B. L. (2013, 4 diciembre). Parrot drones «vulnerable to flying hack attack». BBC News. https://www.bbc.com/news/technology-25217378M. (2018, 20 noviembre). Snoopy Drone Hacks Smartphones While Airborne. Internet Speed Test. https://testinternetspeed.org/blog/snoopy-drone-hacks-smartphones-while-airborne/National Institute of Standards and Technology. (2007, abril). Guidelines for Securing Radio Frequency Identification (RFID) Systems. https://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-98.pdfPaganini, P. (2014, 24 marzo). Snoopy software can turn a drone is a data stealer. Security Affairs. https://securityaffairs.co/wordpress/23374/hacking/snoopy-drone-data-stealer.htmlPerazzo, P., Ariyapala, K., Conti, M., & Dini, G. (2015). The verifier bee: A path planner for drone-based secure location verification. 2015 IEEE 16th International Symposium on A World of Wireless, Mobile andMultimedia Networks (WoWMoM). https://doi.org/10.1109/wowmom.2015.7158150Samy Kankar. (2013, 3 diciembre). SkyJack - autonomous drone hacking w/Raspberry Pi, aircrack & Javascript [Vídeo]. YouTube. https://www.youtube.com/watch?v=EHKV01YQX_wSasi, R. [Rahul Sasi]. (2015, 26 enero). First Backdoor for Drones. Maldrone aka Malware for Drones [Vídeo]. YouTube. https://youtu.be/5SlWdl4ZuAIShane, S., & Sanger, D. E. (2011, 8 diciembre). Drone Crash in Iran Reveals Secret U.S. Surveillance Bid. The New York Times. https://www.nytimes.com/2011/12/08/world/middleeast/drone-crash-in-iran-reveals-secret-us-surveillance-bid.htmlSon, Y., Shin, H., Kim, D., Park, Y., Noh, J., Choi, K., Choi, J., Kim, Y., & Korea Advanced Institute of Science and Technology. (2015). Rocking Drones with Intentional Sound Noise on Gyroscopic Sensors. USENIX, 881–896. https://www.usenix.org/conference/usenixsecurity15/technical-sessions/presentation/sonViana, J., Farkhari, H., Campos, L. M., Sebastiao, P., Cercas, F., Bernardo, L., & Dinis, R. (2022). Two methods for Jamming Identification in UAVs Networks using New Synthetic Dataset. Cornell University. https://doi.org/10.48550/arXiv.2203.11373Wilkinson, G. (2014, 3 agosto). The Machines That Betrayed Their Masters by Glenn Wilkinson [Vídeo]. YouTube. https://www.youtube.com/watch?v=GvrB6S_O0BEYaacoub, J. P., Noura, H., Salman, O., & Chehab, A. (2020). Security analysis of drones systems: Attacks, limitations, and recommendations. Internet of Things, 11, 100218. https://doi.org/10.1016/j.iot.2020.100218Yahuza, M., Idris, M. Y. I., Ahmedy, I. B., Wahab, A. W. A., Nandy, T., Noor, N. M., & Bala, A. (2021). Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges. 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IoD: Sus defectos y vulnerabilidades en casos de la vida real

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