arXiv:2601.00389v2 Announce Type: replace-cross Abstract: Timing and burst patterns can leak through encryption, and an adaptive adversary can exploit them. This undermines metadata-only detection in a stand-alone consumer gateway. Therefore, consumer gateways need streaming intrusion detection on encrypted traffic using metadata only, under tight CPU and latency budgets. We present a streaming IDS for stand-alone gateways that instantiates a lightweight two-state unit derived from Network-Optimised Spiking (NOS) dynamics per flow, named \emph{NOS-Gate}. NOS-Gate scores fixed-length windows of
This research addresses the rising need for robust cybersecurity solutions given the increasing sophistication of adaptive adversaries who can exploit subtle timing and burst patterns in encrypted traffic.
It is crucial for maintaining privacy and security in consumer gateways, especially as more IoT devices and smart home technologies become prevalent, demanding efficient, low-resource intrusion detection.
The introduction of NOS-Gate offers a novel, lightweight streaming IDS that specifically tackles the challenge of detecting threats in encrypted traffic under tight computational constraints on consumer-grade hardware.
- · Cybersecurity industry
- · Consumer gateway manufacturers
- · Privacy-conscious consumers
- · Smart home device developers
- · Adaptive cyber adversaries
- · Legacy intrusion detection systems
- · Consumers with unsecure gateways
Enhanced security for encrypted data flows through consumer gateways, improving user privacy.
Increased adoption of similar lightweight, AI-driven security solutions in edge computing devices.
Potential for a new standard in secure consumer networking where resilience against timing-controlled evasion is a core feature.
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