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Work item:
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XSTR.da-AIcsp
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Subject/title:
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Development and analysis of an AI-Based cybersecurity simulation platform
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Status:
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Under study
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Approval process:
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Agreement
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Type of work item:
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Technical report
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Version:
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New
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Equivalent number:
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-
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Timing:
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2026-Q3 (Medium priority)
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Liaison:
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-
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Supporting members:
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China Unicom, China Telecom
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Summary:
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The telecommunications landscape is evolving towards 5G-Advanced and 6G. The inherent cloudification, service-based architecture, and openness of these networks have dramatically expanded the cyber attack surface, leading to more sophisticated and adaptive threats. Traditional signature-based and static security defense mechanisms are proving insufficient. The industry urgently needs to shift towards a paradigm of continuous validation and proactive immunity. In this context, the construction of an integrated cybersecurity simulation platform, combining high-fidelity network emulation, dynamic adversarial simulation, and AI-driven decision-making, has become a critical strategic initiative for enhancing the resilience of telecommunications infrastructure.
This Technical Report aims to provide a comprehensive, forward-looking, and actionable guideline for telecommunications operators, equipment manufacturers, service providers, and national regulators. Its purpose is to assist in the planning, construction, operation, and evaluation of an AI-based cybersecurity simulation platform.
This Technical Report outlines the platform's functional requirements, technical implementation, a phased deployment roadmap, and an evaluation framework. It clearly identifies its unique role in converging the fields of AI, cybersecurity, and telecommunications simulation to address a critical gap in dynamic, intelligent security validation. By adopting this framework, industry stakeholders can systematically enhance their cyber resilience, laying a solid foundation for a trustworthy digital society.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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First registration in the WP:
2025-12-11 10:38:42
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Last update:
2025-12-11 18:17:15
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