Development of Machine Learning Model to Detect Fault Data Injection Attack on Vehicle Following Systems-Reference-Cited by-同舟云学术

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Development of Machine Learning Model to Detect Fault Data Injection Attack on Vehicle Following Systems

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI)
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Author:

Dharsini S.¹,Prabhakar G.¹,Rajaram S.¹,Shanthi J.¹

Affiliation:

1. Thiagarajar College of Engineering,Dept of ECE,Madurai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10133933/10133939/10134411.pdf?arnumber=10134411

Reference15 articles.

1. A Systematic Review of Fault Injection Attacks on IoT Systems;aakash;Electronics,2022

2. On applying fault detectors against false data injection attacks in cyber-physical control systems;vu;IEEE INFO COM 2016- The 35th Annual IEEE International Conference on Computer Communications,0

3. Finite-time attack detection for nonlinear complex cyber-physical networks under false data injection attacks;xiaojie;Journal of the Franklin Institute,2022

4. Detection and mitigation of false data injection attacks in networked control systems;arman;IEEE Transactions on Industrial Informatics,2019

5. Machine learning for security in vehicular networks: A comprehensive survey;anum;IEEE Communications Surveys & Tutorials,2021

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