Design of a Cybersecurity Competition Problem Based on an Active Immunization Trust Mechanism

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.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1145/3700906.3700975
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Design of a Cybersecurity Competition Problem Based on an Active Immunization Trust Mechanism

Jun Hu, Tianyi Jiang, H. Liu
Advanced Malware Detection Techniques
article

Design of a Cybersecurity Competition Problem Based on an Active Immunization Trust Mechanism

Jun Hu, Tianyi Jiang, H. Liu
article en

Abstract

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.

Beijing University of Technology (CN)
Openalex Percentile: Top 75%
Advanced Malware Detection Techniques
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