Detection of Injection Attacks in Compressed CAN Traffic Logs-Reference-Cited by-同舟云学术

Detection of Injection Attacks in Compressed CAN Traffic Logs

Published:2019 Issue: Volume: Page:111-124
ISSN:0302-9743
Container-title:Security and Safety Interplay of Intelligent Software Systems
language:
Short-container-title:

Author:

Gazdag András,Neubrandt Dóra,Buttyán Levente,Szalay Zsolt

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-16874-2_8

Reference11 articles.

1. Miller, C., Valasek, C.: Adventures in automotive networks and control units. Technical report, IOActive Labs Research, August 2013

2. Koscher, K., et al.: Experimental security analysis of a modern automobile, pp. 447–462 (2010)

3. Checkoway, S., et al.: Comprehensive experimental analyses of automotive attack surfaces. In: Proceedings of the 20th USENIX Conference on Security, SEC 2011. USENIX Association, Berkeley (2011)

4. Gazdag, A., Buttyan, L., Szalay, Z.: Efficient lossless compression of CAN traffic logs. In: 2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split (2017)

5. Taylor, A., Japkowicz, N., Leblanc, S.: Frequency-based anomaly detection for the automotive CAN bus. In: World Congress on Industrial Control Systems Security (WCICSS), London, pp. 45–49 (2015)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SECREDAS: Safe and (Cyber-) Secure Cooperative and Automated Mobility;IFAC-PapersOnLine;2023

2. A Reinforcement Learning Approach for Global Navigation Satellite System Spoofing Attack Detection in Autonomous Vehicles;Transportation Research Record: Journal of the Transportation Research Board;2022-06-04

3. Detecting Message Modification Attacks on the CAN Bus with Temporal Convolutional Networks;Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems;2021

4. Long Short-Term Memory Neural Network-Based Attack Detection Model for In-Vehicle Network Security;IEEE Sensors Letters;2020-06