Cyber Attacks on Healthcare Devices Using Unmanned Aerial Vehicles

被引:0
作者
Sibi Chakkaravarthy Sethuraman
Vaidehi Vijayakumar
Steven Walczak
机构
[1] Vellore Institute of Technology,School of Information & Florida Center for Cybersecurity
[2] University of South Florida,undefined
来源
Journal of Medical Systems | 2020年 / 44卷
关键词
Mobile healthcare; Cyber threats; Drone; Body area network (BAN); Implantable medical device (IMD); Unmanned aerial vehicle (UAV);
D O I
暂无
中图分类号
学科分类号
摘要
The growing use of wireless technology in healthcare systems and devices makes these systems particularly open to cyber-based attacks, including denial of service and information theft via sniffing (eaves-dropping) and phishing attacks. Evolving technology enables wireless healthcare systems to communicate over longer ranges, which opens them up to greater numbers of possible threats. Unmanned aerial vehicles (UAV) or drones present a new and evolving attack surface for compromising wireless healthcare systems. An enumeration of the types of wireless attacks capable via drones are presented, including two new types of cyber threats: a stepping stone attack and a cloud-enabled attack. A real UAV is developed to test and demonstrate the vulnerabilities of healthcare systems to this new threat vector. The UAV successfully attacked a simulated smart hospital environment and also a small collection of wearable healthcare sensors. Compromise of wearable or implanted medical devices can lead to increased morbidity and mortality.
引用
收藏
相关论文
共 50 条
  • [31] Aeromagnetic Exploration using Unmanned Aerial Vehicles: Current and Future Trends
    Kim, Bona
    [J]. GEOPHYSICS AND GEOPHYSICAL EXPLORATION, 2020, 23 (03): : 178 - 191
  • [32] Using lightweight unmanned aerial vehicles to monitor tropical forest recovery
    Zahawi, Rakan A.
    Dandois, Jonathan P.
    Holl, Karen D.
    Nadwodny, Dana
    Reid, J. Leighton
    Ellis, Erle C.
    [J]. BIOLOGICAL CONSERVATION, 2015, 186 : 287 - 295
  • [33] Data Gathering in Wireless Sensor Networks Using Unmanned Aerial Vehicles
    Mazayev A.
    Correia N.
    Schütz G.
    [J]. International Journal of Wireless Information Networks, 2016, 23 (4) : 297 - 309
  • [34] Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning
    Lu, Huimin
    Li, Yujie
    Mu, Shenglin
    Wang, Dong
    Kim, Hyoungseop
    Serikawa, Seiichi
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2018, 5 (04): : 2315 - 2322
  • [35] Measurements of Electromagnetic Emission inside Industrial Unmanned Aerial Vehicles
    Watanabe, Koh
    Aoi, Mai
    Komatsu, Misaki
    Tanaka, Satoshi
    Nagata, Makoto
    [J]. 2021 13TH INTERNATIONAL WORKSHOP ON THE ELECTROMAGNETIC COMPATIBILITY OF INTEGRATED CIRCUITS (EMC COMPO 2021), 2022, : 25 - 28
  • [36] Reliability Theory and Practice for Unmanned Aerial Vehicles
    Xing, Liudong
    Johnson, Barry W.
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (04) : 3548 - 3566
  • [37] Overview of Propulsion Systems for Unmanned Aerial Vehicles
    Zhang, Bowen
    Song, Zaixin
    Zhao, Fei
    Liu, Chunhua
    [J]. ENERGIES, 2022, 15 (02)
  • [38] Autopilots for small unmanned aerial vehicles: A survey
    HaiYang Chao
    YongCan Cao
    YangQuan Chen
    [J]. International Journal of Control, Automation and Systems, 2010, 8 : 36 - 44
  • [39] A Survey of Cyberattack Countermeasures for Unmanned Aerial Vehicles
    Kong, Peng-Yong
    [J]. IEEE ACCESS, 2021, 9 : 148244 - 148263
  • [40] Autopilots for Small Unmanned Aerial Vehicles: A Survey
    Chao, HaiYang
    Cao, YongCan
    Chen, YangQuan
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2010, 8 (01) : 36 - 44