Machine Learning with Real-time and Small Footprint Anomaly Detection System for In-Vehicle Gateway
Author:
Affiliation:
1. Continental Automotive Singapore,Product Cybersecurity & Privacy Office,Singapore
2. Nanyang Technological University,School of EEE,Singapore
3. ShanghaiTech University,School of Information Science and Technology,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10557746/10557828/10558008.pdf?arnumber=10558008
Reference15 articles.
1. IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices
2. Security Threats to Automotive CAN Networks – Practical Examples and Selected Short-Term Countermeasures
3. Security in automotive bus systems;Wolf
4. Remote exploitation of an unaltered passenger vehicle;Miller,2015
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