USOD: A Unified Security Operations Dashboard with Hybrid AI Intrusion Detection and Immutable Blockchain Audit Trails — ISAISS 2026 | TechShield Publications
ISAISS 2026 · Conference Article

USOD: A Unified Security Operations Dashboard with Hybrid AI Intrusion Detection and Immutable Blockchain Audit Trails

Authors: Ghulam Mohayudin, Ali Sami, Zuhaib Iqbal, Iftikhar Rasheed

Abstract

Network intrusion detection systems often suffer from a critical gap between threat identification and immutable audit logging. We introduce USOD (Unified Security Operations Dashboard), a microservices-based architecture that bridges this gap by coupling a hybrid XGBoost/Isolation Forest inference engine with a Hyperledger Fabric blockchain. Unlike traditional SIEMs that rely on centralized, mutable databases, USOD enforces cryptographic non-repudiation for high-severity alerts. Our evaluation on the CICIDS2017 dataset demonstrates that XGBoost achieves 99.88% accuracy, while the Raft-consensus blockchain commits threat logs with a mean latency of 47ms. This dual-track approach combines probabilistic detection with deterministic auditing, providing a verified, tamper-proof security posture accessible via synchronized Web, Mobile, and Desktop clients.

Network Intrusion Detection XGBoost Isolation Forest Hyperledger Fabric Blockchain Microservices

Cite This Paper

G. Mohayudin, A. Sami, Z. Iqbal, and I. Rasheed, “USOD: A Unified Security Operations Dashboard with Hybrid AI Intrusion Detection and Immutable Blockchain Audit Trails,” Proc. Int. Symp. on AI and Secure Systems (ISAISS 2026), University of Central Punjab, Bahawalpur, Jan. 2026, doi: 10.67535/tsp.000002.042.