MeshDNS delivers a cooperative DNS system for constrained IoT that achieves 0.47 ms warm-cache lookups on ESP8266 hardware and isolates Byzantine faults via signed quorum at a 1.3-1.7 s cost.
Aflguard: Byzantine-robust asynchronous federated learning,
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KingsGuard adds hardware data-flow tracking and checks to TEE enclaves to prevent sensitive data leakage from vulnerabilities while supporting intentional declassification.
Cybersecurity's scale, adversaries, labeling issues, and operational demands make it the superior test-case for general AI progress over NLP or computer vision.
A literature survey synthesizes 119 studies on AI-driven alert screening into a four-stage taxonomy of filtering, triage, correlation, and generative augmentation while identifying gaps in deployment realism and robustness.
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MeshDNS: A Cooperative DNS Resolution Framework for Resource-Constrained IoT Networks
MeshDNS delivers a cooperative DNS system for constrained IoT that achieves 0.47 ms warm-cache lookups on ESP8266 hardware and isolates Byzantine faults via signed quorum at a 1.3-1.7 s cost.