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Now I will summarize what we contribute.
Our first contribution is a distributed trust-based defense framework for NRS-based ICN that binds traffic to Decentralized Identifiers, or DIDs, and regulates access based on multi-factor behavioral credit scores derived from resolution and caching behavior.
Second, we design a lightweight gossip protocol to synchronize trust across resolution domains, and we introduce credit-aware policy enforcement so that credit directly controls rate limiting, forwarding priority, and caching decisions.
Third, we integrate a federated learning module that enables cross-domain detection of low-rate or collaborative attacks, without sharing raw traffic data. That preserves privacy and keeps coordination traffic modest.
And the key innovation is this closed loop: identity and behavior continuously feed into resolution, forwarding, and caching decisions, so the system can selectively prioritize trustworthy requesters and suppress malicious patterns. |
IEEE/ICACT20260343 Slide.06
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