연구 분야: Analysis
학회: International Conference on Cyberspace Simulation and Evaluation
The network system of intelligent connected vehicles is becoming increasingly complex, accompanied by a variety of network attack methods, which poses a huge challenge to traditional intrusion detection systems (IDS). This paper proposes an improved intelligent connected vehicle attack chain analysis method based on the ATT&CK framework. This method deploys multi-level IDS, introduces a customized ATT&CK-ICV model, pre-processes security event data, builds an asset-security event association knowledge graph, uses sliding windows and PDFP-Growth algorithm for rule mining, and converts the attack chain into a visual format. It systematically analyzes and associates multiple attack steps, reveals the attacker’s strategy and constructs a complete attack chain. Experimental results show that this method can effectively improve the recognition and defense efficiency of complex attack patterns, and provides a new idea and tool for the network security of intelligent connected vehicles.
| 발행 연도 | 2025년 |
|---|---|
| 인용수 | 0 |
| 출판 국가 | Andorra, China |
| 사이트 | Springer |
| 좋아요 수 | 0 |