Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams
Spiking neural networks (SNNs) have shown promise for sparse, event-driven computation through stateful processing that is naturally compatible with low-power edge hardware. These properties align with cyber monitoring, where data arrives asynchronously, and malicious behavior often emerges through temporal patterns ac...
Dalton Diez, Peyton Andras, Maxwell T. Shroyer et al.
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