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From Network Intrusion Detection to Blockchain-Backed Endpoint Detection and Response: Mapping the Landscape of Decentralized Detection-and-Response Architectures

arXiv cs.CRby Yahya Shahsavari ()1 min read1 · 1 read
AI summary · grok-4.7Summaries by Vani AI

A systematization maps blockchain roles in detection-and-response and finds per-endpoint on-chain loops remain rare.

This systematization of knowledge reviews blockchain-assisted intrusion detection published from 2019 to 2026 and argues earlier surveys miss the move toward EDR and XDR. It proposes a three-axis taxonomy of detection-system class, blockchain functional role, and response-automation maturity. The authors conclude that a genuine per-endpoint blockchain-anchored response loop is nearly nonexistent because of latency, deployment, and community mismatches. Persistent challenges include consensus latency, post-quantum cryptography, smart-contract attacks, and adversarial weakness of LLM-based detectors.

Key facts
  • SoK reviews blockchain-assisted detection research published from 2019 to 2026.
  • Taxonomy covers detection class, blockchain role, and response automation.
  • Per-endpoint on-chain response loops remain nearly nonexistent.
  • Gaps include latency, post-quantum crypto, smart contracts, and LLM detectors.
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From the original article

1 min read at arxiv.org

While the literature on blockchain-assisted intrusion detection and prevention systems (IDS/IPS) for Internet of Things (IoT) and Industrial Internet of Things (IIoT) networks is mature, existing systematic reviews suffer from two critical limitations: they overlook the structural shift toward modern Endpoint Detection and Response (EDR) and Extended Detection and Response (XDR) architectures, and they conflate…

arXiv cs.CR

By Yahya Shahsavari · arxiv.org

Read the full article at arXiv cs.CR

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