AICCE: AI Driven Compliance Checker Engine
For digital infrastructure to be safe, compatible, and standards-aligned, automated communication protocol compliance verification is crucial. Nevertheless, current rule-based systems are becoming less and less effective since they are unable to identify subtle or intricate non-compliance, which attackers frequently use to establish covert communication channels in IPv6 traffic. In order to automate IPv6 compliance verification, this paper presents the Artificial Intelligence Driven Compliance Checker Engine (AICCE), a novel generative system that combines dual-architecture reasoning and retrieval-augmented generation (RAG). Specification segments pertinent to each query can be efficientl...
| Authors | Mohammad Wali Ur Rahman, Martin Manuel Lopez, Lamia Tasnim Mim et al. |
|---|---|
| Primary category | cs.CR |
| Published | 3 April 2026 |
| Last updated at source | 3 April 2026 |
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