A binary attack-vs-benign detector for blockchain-node network/resource attacks, trained entirely on faithful reproductions of publicly-disclosed attacks. Every attack class in the corpus reproduces a specific public disclosure — a CVE, a GHSA, or a named third-party security audit — and each carries a provenance.sourceclass recording how public its sourcing is. Part of NullRabbit's work on autonomous defence for decentralised networks — watch the outside of the perimeter. Given the network-layer signal of a short capture window against a blockchain node (packet-rate / size statistics from the pcap, and amplification / request-response / timing statistics from the RPC responses), the model…
Organization
NullRabbit Labs
NullRabbit
- Network security - Anomaly detection - Blockchain infrastructure - Validator security - eBPF / XDP - Adversarial robustness
Models in Library1
Datasets in Library0
Models on Hugging Face3
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