Replay Cyberattack Detection in an IoT-based Healthcare System using RFID Sensors

被引:0
|
作者
Nozaripour, Rezvan [1 ]
Khorasani, Khashayar [1 ]
机构
[1] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ, Canada
关键词
D O I
10.1109/RFID-TA58140.2023.10290714
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The use of automated insulin injection systems has become increasingly common for management of diabetes. However, these systems are vulnerable to cyberattacks, which can compromise the safety and effectiveness of the treatment. One type of cyberattack that has been identified in these systems is the replay attack, in which the hacker intercepts and replays legitimate data in order to manipulate the insulin delivery. In this paper, we propose a replay cyberattack detection system based on a feasibility condition that is developed and investigated. Towards this end, we add a virtual auxiliary system and detection filters to the automated control system. The key advantage of our proposed methodology is that the proposed scheme makes the system resilient to undetectable replay cyberattacks where the filters are capable of isolating replay cyberattacks from other types of adversary cyberattacks. The simulation results are provided to illustrate the effectiveness of the proposed approach.
引用
收藏
页码:95 / 98
页数:4
相关论文
共 50 条
  • [21] IoT-based Healthcare Monitoring System for War Soldiers using Machine Learning
    Gondalia, Aashay
    Dixit, Dhruv
    Parashar, Shubham
    Raghava, Vijayanand
    Sengupta, Animesh
    Sarobin, Vergin Raja
    INTERNATIONAL CONFERENCE ON ROBOTICS AND SMART MANUFACTURING (ROSMA2018), 2018, 133 : 1005 - 1013
  • [22] IoT-based smart healthcare video surveillance system using edge computing
    Rajkumar Rajavel
    Sathish Kumar Ravichandran
    Karthikeyan Harimoorthy
    Partheeban Nagappan
    Kanagachidambaresan Ramasubramanian Gobichettipalayam
    Journal of Ambient Intelligence and Humanized Computing, 2022, 13 : 3195 - 3207
  • [23] IoT-based smart healthcare video surveillance system using edge computing
    Rajavel, Rajkumar
    Ravichandran, Sathish Kumar
    Harimoorthy, Karthikeyan
    Nagappan, Partheeban
    Gobichettipalayam, Kanagachidambaresan Ramasubramanian
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 13 (6) : 3195 - 3207
  • [24] A new healthcare diagnosis system using an IoT-based fuzzy classifier with FPGA
    Sambit Satpathy
    Prakash Mohan
    Sanchali Das
    Swapan Debbarma
    The Journal of Supercomputing, 2020, 76 : 5849 - 5861
  • [25] An IOT-Based Automotive and Intelligent Toll Gate Using RFID
    Chandrappa S.
    Guruprasad M.S.
    Kumar H.N.N.
    Raju K.
    Kumar D.K.S.
    SN Computer Science, 4 (2)
  • [27] Signal Analysis and Anomaly Detection of IoT-Based Healthcare Framework
    Nawaz, Menaa
    Ahmed, Jameel
    Abbas, Ghulam
    Rehman, Mujeeb Ur
    2020 GLOBAL CONFERENCE ON WIRELESS AND OPTICAL TECHNOLOGIES (GCWOT), 2020,
  • [28] Adversarial training for deep learning-based cyberattack detection in IoT-based smart city applications
    Rashid, Md. Mamunur
    Kamruzzaman, Joarder
    Hassan, Mohammad Mehedi
    Imam, Tasadduq
    Wibowo, Santoso
    Gordon, Steven
    Fortino, Giancarlo
    COMPUTERS & SECURITY, 2022, 120
  • [29] Development of an IoT-based Visitor Detection System
    Lee, Hyoung-Ro
    Lin, Chi-Ho
    Kim, Won-Jong
    2016 INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC), 2016, : 281 - 282
  • [30] IoT-Based Human Fall Detection System
    Ribeiro, Osvaldo
    Gomes, Luis
    Vale, Zita
    ELECTRONICS, 2022, 11 (04)