ABO For anomaly detection and computer network optimization

Grace Mupoyi Ntuala

doi:10.1016/j.comnet.2025.111911

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ABO For anomaly detection and computer network optimization

2026-01-01

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DOI：10.1016/j.comnet.2025.111911

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Abstract

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Blockchain networks face critical challenges in anomaly detection, scalability, and resilience under adversarial attacks. Existing solutions often lack integrated approaches that combine time-domain and frequency-domain analyses, failing to detect periodic patterns and provide real-time correction mechanisms. This paper introduces ABO (Advanced Blockchain Optimization), a novel framework that integrates Eigenvalue Theory, Discrete Fourier Transform (DFT), and Gaussian Mixture Models (GMM) for comprehensive anomaly detection, correction, and network optimization. ABO employs DFT for frequency-domain analysis to uncover hidden periodic transaction patterns, GMM for probabilistic real-time anomaly scoring, and Eigenvalue Theory to model transaction dependencies and identify critical nodes. A key innovation is the adaptive anomaly correction mechanism that recalibrates transaction flows, reallocates resources, and isolates malicious nodes to restore normal operations. Additionally, Fatou's Lemma provides rigorous long-term transaction volume estimation for optimal resource allocation. Extensive experiments on real-world Ethereum datasets (70 million transactions) demonstrate that ABO achieves superior performance: 95.5% average detection accuracy (6% improvement over CNN/GRU/LSTM baselines), 44.2ms detection time (45% faster), 8460 tx/s throughput (98% higher), and 3.58J energy consumption (49% lower). Under adversarial attack scenarios including evasion, poisoning, structural, perturbation, and model-specific attacks, ABO maintains robust detection accuracy above 94% across all attack types. These results confirm that ABO provides a scalable, resilient, and efficient solution for blockchain security and optimization in large-scale deployments.

Keywords:

Blockchain

Anomaly detection

Blockchain security

Scalability

Network optimization

Resilience