Context-aware Anomaly Detector for Monitoring Cyber Attacks on Automotive CAN Bus-Reference-Cited by-同舟云学术

Context-aware Anomaly Detector for Monitoring Cyber Attacks on Automotive CAN Bus

Published:2019-10-08 Issue: Volume: Page:
ISSN:
Container-title:ACM Computer Science in Cars Symposium
language:
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Author:

Kalutarage Harsha Kumara¹,Al-Kadri M. Omar²,Cheah Madeline³,Madzudzo Garikayi³

Affiliation:

1. Robert Gordon University, United Kingdom

2. Robert Gordon University

3. HORIBA-MIRA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3359999.3360496

Reference30 articles.

1. Shaikh S. Haas O. Ruddle A Cheah M.2017. Towards a systematic security evaluation of the automotive Bluetooth interface. (2017) 8–18. Shaikh S. Haas O. Ruddle A Cheah M.2017. Towards a systematic security evaluation of the automotive Bluetooth interface. (2017) 8–18.

2. An empirical study of smoothing techniques for language modeling

3. Tsvika Dagan and Avishai Wool. 2016. Parrot a software-only anti-spoofing defense system for the CAN bus. ESCAR EUROPE (2016). Tsvika Dagan and Avishai Wool. 2016. Parrot a software-only anti-spoofing defense system for the CAN bus. ESCAR EUROPE (2016).

4. A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systems

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