Cybersecurity
零信任图注意力智能
Zero-trust graph-attentive intelligenceA framework integrating graph attention networks with zero-trust authentication to ensure Byzantine resilience in UAV swarms. / 一种将图注意力网络与零信任认证相结合的框架，用于确保无人机群的去拜占庭韧性。
- Knowledge type
- 工艺技术
- First proposed or discovered
- 2026
- Proposer
- S. Sophia, P. Getzi Jeba Leelipushpam, Immanuel JohnRaja Jebadurai, V. Ebenezer
- Creator
- 农场主
- Last updated
- 2026-11-13 16:06:33
Sub-knowledge points
Byzantine fault detectioncommunication bandwidth constraintsspoofing attacksreplay attacksSybil identity fabricationgradient poisoning attacks
Higher-order knowledge points
UAV swarm coordinationautonomous multi-agent systems
Main parameters and performance indicators
backbone: eight-head, 256-dimensional Graph Attention Network (GAT)authentication layer: multi-signal zero-trust authentication layerfusion signals: behavioral scoring, cryptographic attestation, graph neighborhood analysiscomposite threshold: 0.75corruption levels: 5%, 10%, 20%, 33%
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsZero-trust graph-attentive intelligence for Byzantine-resilient UAV swarms under communication constraintsOpen source
Related products and links
UAVSwarm dataset
Creation and modification trail
1 recordsRecord title: Zero-trust graph-attentive intelligence.
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