Intrusion Detection Framework for In-vehicle Network Combining Time Features and Data Features
Author:
Affiliation:
1. Sun Yat-sen University,School of Electronics and Communication Engineering,Shenzhen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9880588/9880614/09880704.pdf?arnumber=9880704
Reference17 articles.
1. Modeling inter-signal arrival times for accurate detection of CAN bus signal injection attacks
2. In-Vehicle Intrusion Detection System on Controller Area Network with Machine Learning Models
3. Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks
4. Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
5. Anomaly detection of CAN bus messages through analysis of ID sequences
Cited by 2 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. ECF-IDS: An Enhanced Cuckoo Filter-Based Intrusion Detection System for In-Vehicle Network;IEEE Transactions on Network and Service Management;2024-08
2. Anomaly Detection and Functional Testing for Automotive CAN Communication;2024 IEEE International Systems Conference (SysCon);2024-04-15
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