연구 분야: Safety
학회: FAIML '23: Proceedings of the 2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning
Abstract. With the continuous improvement of the degree of telematics, automobiles gradually evolve from traditional means of transportation to aggregations of new network products, and the continuous enrichment of product functions also makes its network risk exposure increasing. Unlike traditional network products such as cell phones and computers, automobiles have the characteristics of faster movement, more complex internal systems and longer industrial chains, resulting in higher security risks and greater hazards. To hedge automotive cyber security risks, the first step is the automotive cyber threat acquisition and identification. Therefore, this paper summarizes the current situation of automotive cyber threat intelligence and presents a prospect of the future development trend of threat intelligence in the automotive field.
| 발행 연도 | 2024년 |
|---|---|
| 인용수 | 1 |
| 출판 국가 | Andorra |
| 사이트 | ACM |
| 좋아요 수 | 0 |