Next-Generation Security Operations Centers: A Holistic Framework Integrating Artificial Intelligence, Federated Learning, and Sustainable Green Infrastructure for Proactive Threat Mitigation
Abstract
Background: The exponential growth of cyber threats, particularly ransomware and Advanced Persistent Threats (APTs), has rendered traditional, reactive Security Operations Centers (SOCs) insufficient. As attack vectors diversify across social media, industrial control systems (ICS), and cloud environments, the volume of security telemetry exceeds human cognitive capacity.
Methods: This study synthesizes recent advancements in Artificial Intelligence (AI), Federated Learning, and Green Infrastructure to propose a "Cognitive-Green SOC" framework. We analyze a corpus of distinct studies, evaluating architectures ranging from Transformer-based threat identification to blockchain-enabled federated forests. The methodology integrates an AI-optimized playbook for ransomware investigation with dynamic workload optimization strategies to reduce the carbon footprint of intensive cryptographic computations.
Results: The analysis demonstrates that integrating End-to-End architectures like RANK and Transformer models significantly improves detection rates for persistent attacks and social media threats compared to traditional heuristics. Furthermore, the integration of Green Infrastructure principles optimizes chip design and network loads, mitigating the high energy costs associated with continuous ML training.
Conclusion: The transition to Next-Gen SOCs requires more than just algorithmic upgrades; it demands a holistic architectural shift. By embedding explainable anomaly detection and prioritizing sustainable computing, organizations can achieve robust security postures that are both operationally efficient and environmentally responsible.
Keywords
References
Most read articles by the same author(s)
- Kwame Asare, AI-Powered Predictive Exception Management and Supply Network Coordination in SAP S/4HANA Manufacturing , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 10 (2026): Volume 03 Issue 10
- Hoang Thanh Nam, Next-Generation Test Automation: Integrating Artificial Intelligence with Software Quality Engineering , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Farhad Nouri, Dr. Mohammadreza Nouri, ADAPTIVE SIMILARITY-DRIVEN APPROACHES FOR CONTINUAL LEARNING: BRIDGING TASK-AWARE AND TASK-FREE PARADIGMS , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 01 (2025): Volume 02 Issue 01
- Marko Petrovic, Intelligent Failure Prediction Techniques for Modern Electricity Distribution Infrastructure , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 03 (2026): Volume 03 Issue 03
- Dr. Amir Reza Khosravi, Dr. Sara Mohammadi, Advanced Cognitive State Analysis of Insomnia Using Computational Architecture for Modeling Thought and Awareness Disruption , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 05 (2026): Volume 03 Issue 05
- Dr. Aris Thorne, Generating Dual-Identity Face Impersonations with Generative Adversarial Networks: An Adversarial Attack Methodology , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Dr Chintal Kumar Patel, Survey of Artificial Intelligence Approaches for Traffic Accident Analysis, Prediction, And Prevention , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 07 (2026): Volume 03 Issue 07
- Dr. Aarav Sharma, Dr. Meera Kulkarni, An Integrated NDVI-Driven Predictive Model for Assessing Protein Concentration in Rice Crops and Nitrogen Status in Rice Leaves Through Aerial Imaging and Regression Analysis , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 07 (2026): Volume 03 Issue 07
- Prof. Robert J. Mitchell, EVALUATING A FOUNDATIONAL PROGRAM FOR CYBERSECURITY EDUCATION: A PILOT STUDY OF A 'CYBER BRIDGE' INITIATIVE , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 03 (2025): Volume 02 Issue 03
- Dr. Elara V. Sorenson, Deep Contextual Understanding: A Parameter-Efficient Large Language Model Approach To Fine-Grained Affective Computing , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 10 (2025): Volume 02 Issue 10
Similar Articles
- Dr. Amir Hosseini, A Intelligent Edge-Cloud Integration for Resilient and Real-Time AI Decision Systems , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Amit Jain, A Comprehensive Survey of Recent Advances Artificial Intelligence for Insurance Fraud Detection , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Emily Roberts, Supply Chain 4.0: The Role of Artificial Intelligence in Enhancing Resilience and Operational Efficiency , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 08 (2025): Volume 02 Issue 08
- Angelo soriano, Sheila Ann Mercado, The Convergence of AI And UVM: Advanced Methodologies for the Verification of Complex Low-Power Semiconductor Architectures , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Dr. Khalid Al-Harbi, Dr. Noor Al-Mazrouei, Analyzing Transparency in Prediction Approaches for Power Regulation Trading Systems , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Adrian T. Blackmoor, Digital Lending Transformation Through Real Time Artificial Intelligence Based Credit Analytics , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Dr. Janis Ozols, Dr. Elina Berzina, Intelligent Local Learning Architecture for Efficient Kernel-Based Data Analytics and Predictive Modeling , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Haruto Nakamura, Dr. Yui Takahashi, A Deep Unsupervised Artificial Intelligence Model for Automated Prostate Cancer Prediction Through Latent Pattern Discovery and Clinical Data Analysis , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Mei-Ling Zhou, Dr. Haojie Xu, LEARNING RICH FEATURES WITHOUT LABELS: CONTRASTIVE APPROACHES IN MULTIMODAL ARTIFICIAL INTELLIGENCE SYSTEMS , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 04 (2025): Volume 02 Issue 04
- Mason Johnson, Forging Rich Multimodal Representations: A Survey of Contrastive Self-Supervised Learning , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 11 (2025): Volume 02 Issue 11
You may also start an advanced similarity search for this article.