상세정보
학술대회
A Study on Traffic Characteristics for Anomaly Detection of Ethernet-based IVN
- 발행일
- 201910
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.951-953
- 협약과제
- 19HH3400, 오토모티브 이더넷 기반 차량 보안위협 예측․탐지․대응 및 보안성 자동진단 기술개발, 정보흥
- 초록
- In vehicles that provide intelligent services such as autonomous driving or ADAS, a wide bandwidth is required. CAN protocol, which is mainly used for a car network, has a bandwidth of only a few Mbps. So, there is an increasing trend to apply Ethernet to the in-vehicle network. The connected car with ICT technology increases the risk of intrusion by malicious viruses and external hackers. In this paper, we look at the stage of adopting Ethernet technology in vehicle network and examine the security threats of Ethernet-based vehicle networks. Also we look at the traffic characteristics of in-vehicle networks based on automotive ethernet. Finally, we briefly design an anomaly detection system using machine learning techniques.
- KSP 제안 키워드
- Connected Car, Ethernet technology, Ethernet-based, In-Vehicle Network, Intrusion detection system(IDS), Machine Learning technique(MLT), Traffic characteristics, Vehicle Network(IVN), Wide bandwidth, anomaly detection system, automotive Ethernet