연구 분야: Verification
학회: International Conference on Cyberspace Simulation and Evaluation
Due to the possibility of user nodes being invaded during tests of security technologies in cyber ranges, the behaviors cannot be accurately simulated according to real network environments, rendering the test results unreliable. This paper proposes a group user behavior simulation method based on bidirectional integrity verification to prevent abnormal nodes from influencing behavior propagation and experimental outcomes. Specifically, drawing on the Trusted Computing 3.0 dual-system architecture, an independent trusted unit is constructed. This unit’s trusted cryptographic module measures the infection state of simulation nodes to ensure that the behavior propagation adheres to realistic logic while safeguarding users’ private information. Additionally, we enhance the traditional SIR infectious disease model by employing the designed trusted module as a third party to measure nodes before actions are transmitted, thereby preventing abnormal nodes from infecting neighbors. At the same time, with the help of bidirectional integrity verification, user nodes verify the state hash value returned by the trusted third party, preventing deception of the trusted unit and ensuring the reliability of behavior propagation. Experimental results demonstrate that the behavior propagation model based on bidirectional integrity verification significantly reduces the impact of abnormal nodes on infection peak and the time to reach this peak, and the correction effect is particularly pronounced at lower infection rates. The proposed algorithm more accurately replicates group information propagation in real Internet environments, ensuring that the simulation experiment results are both trustworthy and credible.
| 발행 연도 | 2025년 |
|---|---|
| 인용수 | 0 |
| 출판 국가 | Andorra, China |
| 사이트 | Springer |
| 좋아요 수 | 0 |