연구 분야: Verification
학회: IPMLP '24: Proceedings of the International Conference on Image Processing, Machine Learning and Pattern Recognition
China's “Cybersecurity Law” mandates that critical information infrastructure must comply with the Multi-Level Protection Scheme (MLPS) 2.0, which requires a proactive security assurance system that is “trustworthy, controllable, and manageable.” Traditional information security education often lacks practical training cases related to trustworthy computing and MLPS, and there is a scarcity of systematic defense practices integrated with security application scenarios. Based on the proactive trust mechanism, the Trustworthy Computing Laboratory at Beijing University of Technology has proposed a new design for Trusted 3.0 cyber security competition problems. These designs provide practical training cases and competition topics related to MLPS, as well as lightweight simulation methods for complex application scenario attack and defense. The laboratory, leveraging its developed cloud virtual trusted root technology and general-purpose trusted base software, has built a cloud-based cybersecurity teaching platform based on the active immunization trust mechanism. This platform supports the Trusted 3.0 cybersecurity competition topics, enabling the simulation of use cases and attack-defense scenarios, fulfilling the training needs related to MLPS, and enhancing students' practical engineering skills.
| 발행 연도 | 2024년 |
|---|---|
| 인용수 | 0 |
| 출판 국가 | China |
| 사이트 | ACM |
| 좋아요 수 | 0 |