Drones in cyber security environment
Lehto, M. (2019). Drones in cyber security environment. Cyberwatch Magazine, 2019(4), 8-17. https://issuu.com/cyberwatchfinland.fi/docs/cyberwatch_2019-4_eng
Julkaistu sarjassa
Cyberwatch MagazineTekijät
Päivämäärä
2019Tekijänoikeudet
© 2019 Cyberwatch Finland Oy
Aerial unmanned vehicles (AUV) are currently used for a wide range of operations such as border surveillance, surveillance, reconnaissance, transport, aerial photography, traffic control, earth observation, communications, broadcasting and armed attacks. AUVs are presumed to be reliable, automated and autonomous machines.
AUVs are extremely suitable for long missions that strain flight crews or put them to harm's way. Two advantages can be gained by eliminating the flight crew: 1) performance improves (range, endurance, increased payload and maneuverability, smaller physical size and lower observability) and; 2) the ability to take higher risks.
UAV/RPAS/drone cyber security has largely focused on exploitable vulnerabilities in either the communication channels or the hardware/software stack on the vehicle. Such ttacs have focused on exploiting unencrypted communication over wireless media to implement eaves-dropping, cross-layer attacks, signal jamming, denial of service, and dropping Wi-Fi communication with ground control. Other attacks on drones involve GPS (Global Positioning System) spoofing attacks to fool the drone into moving to a different destination (possibly with the intention of hijacking the drone).
In the same time UAV or drone can be a cyber attack platform. Specially equipped drone can track signals based on Wi-Fi, radio frequency identification (RFID) and the Bluetooth and 802.15 specifications (PAN/WPAN communication).
Combined with a GPS capability drone correlates signals to the location where they're detected. So, the drone spy not only on phones, tablets, and computers, but also, potentially, on pacemakers, fitness bracelets, smart cards, and other electronics. Additionally, drone can function as visual tracking platforms even without the use of beacons or GPS.
Swarms of small drones could soon become an important part of the modern military arsenal. The swarm idea inherently drives drones towards autonomy which allows many different kinetic and non-kinetic operations.
...
Julkaisija
Cyberwatch Finland OyISSN Hae Julkaisufoorumista
2490-0753Asiasanat
Alkuperäislähde
https://issuu.com/cyberwatchfinland.fi/docs/cyberwatch_2019-4_engJulkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/51745791
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Lisenssi
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
UAV-Aided Secure Short-Packet Data Collection and Transmission
Chen, Xinying; Zhao, Nan; Chang, Zheng; Hämäläinen, Timo; Wang, Xianbin (Institute of Electrical and Electronics Engineers (IEEE), 2023)Benefiting from the deployment flexibility and the line-of-sight (LoS) channel conditions, unmanned aerial vehicle (UAV) has gained tremendous attention in data collection for wireless sensor networks. However, the ... -
1st Workshop on Maritime Computer Vision (MaCVi) 2023 : Challenge Results
Kiefer, Benjamin; Kristan, Matej; Pers, Janez; Zust, Lojze; Poiesi, Fabio; De Alcantara Andrade, Fabio Augusto; Bernardino, Alexandre; Dawkins, Matthew; Raitoharju, Jenni; Quan, Yitong; Atmaca, Adem; Hofer, Timon; Zhang, Qiming; Xu, Yufei; Zhang, Jing; Tao, Dacheng; Sommer, Lars; Spraul, Raphael; Zhao, Hangyue; Zhang, Hongpu; Zhao, Yanyun; Augustin, Jan Lukas; Jeon, Eui-Ik; Lee, Impyeong; Zedda, Luca; Loddo, Andrea; Di Ruberto, Cecilia; Verma, Sagar; Gupta, Siddharth; Muralidhara, Shishir; Hegde, Niharika; Xing, Daitao; Evangeliou, Nikolaos; Tzes, Anthony; Bartl, Vojtech; Spanhel, Jakub; Herout, Adam; Bhowmik, Neelanjan; Breckon, Toby P.; Kundargi, Shivanand; Anvekar, Tejas; Tabib, Ramesh Ashok; Mudengudi, Uma; Vats, Arpita; Song, Yang; Liu, Delong; Li, Yonglin; Li, Shuman; Tan, Chenhao; Lan, Long; Somers, Vladimir; De Vleeschouwer, Christophe; Alahi, Alexandre; Huang, Hsiang-Wei; Yang, Cheng-Yen; Hwang, Jenq-Neng; Kim, Pyong-Kun; Kim, Kwangju; Lee, Kyoungoh; Jiang, Shuai; Li, Haiwen; Ziqiang, Zheng; Vu, Tuan-Anh; Nguyen-Truong, Hai; Yeung, Sai-Kit; Jia, Zhuang; Yang, Sophia; Hsu, Chih-Chung; Hou, Xiu-Yu; Jhang, Yu-An; Yang, Simon; Yang, Mau-Tsuen (IEEE, 2023)The 1 st Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and organized several subchallenges in this domain: (i) ... -
Trajectory Design and Resource Allocation for Multi-UAV Networks : Deep Reinforcement Learning Approaches
Chang, Zheng; Deng, Hengwei; You, Li; Min, Geyong; Garg, Sahil; Kaddoum, Georges (Institute of Electrical and Electronics Engineers (IEEE), 2022)The future mobile communication system is expected to provide ubiquitous connectivity and unprecedented services over billions of devices. The unmanned aerial vehicle (UAV), which is prominent in its flexibility and low ... -
Mini-drones swarms and their potential in conflict situations
Lehto, Martti; Hutchinson, William (Peregrine Technical Solutions, 2021)Drones are currently used for a wide range of operations, such as border surveillance, general surveillance, reconnaissance, transport, aerial photography, traffic control, earth observation, communications, broadcasting, ... -
Ilmakuvausjournalismin uudet ulottuvuudet : Drooneista satelliitteihin
Uskali, Turo; Ikonen, Pasi; Manninen, Ville; Hokkanen, Jere (Jyväskylän yliopisto, 2021)Ilmakuvausjournalismin uudet ulottuvuudet: Drooneista satelliitteihin -tutkimus- ja kehityshankkeen (DroSat) loppuraportissa kerrotaan projektin tärkeimmät tulokset. Hanke toteutettiin vuosien 2020–2021 aikana Jyväskylän ...
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.