ARCHIVES
Original Article
Cyber Security Threat Detection System – Threat shield AI
Amol Phatak1
Sakshi Dama2
Shweta Jadhav3
Sanjana Birajdar4
1 Professor, Department of CSE (AI&DS), Shree Siddheshwar College of Engineering, Solapur, Maharashtra, India. 2 3 4 Department of CSE(AI&DS), Shree Siddheshwar College of Engineering, Solapur, Maharashtra, India
Published Online: May-June 2026
Pages: 132-141
Cite this article
No DOIReferences
1) R. Mishra, "Cyber Security Threat Detection Model Using Artificial Intelligence Technology," 2023 2nd International Conference
on Edge Computing and Applications (ICECAA), Namakkal, India, 2023, pp. 324-330, doi: 10.1109/ICECAA58104.2023.10212209.
2) Y. Hmimou, M. Tabaa, A. Khiat and Z. Hidila, "A Multi-Agent System for Cybersecurity Threat Detection and Correlation Using
Large Language Models," in IEEE Access, vol. 13, pp. 150199-150215, 2025, doi: 10.1109/ACCESS.2025.3602681.
3) Y. Patil, S. S. Solpaure, S. Umare and S. Bhosale, "LogInsight: A Tool for Log Analysis and Threat Detection," 2025 International
Conference on Electronics, Computing, Communication and Control Technology (ICECCC), Bengaluru, India, 2025, pp. 1-6, doi:
10.1109/ICECCC65144.
4) H. Cho and S. Kim, "Threat Modeling for the Defense Industry: Past, Present, and Future," in IEEE Access, vol. 13, pp. 53276-53304,
2025, doi: 10.1109/ACCESS.2025.3550337.
5) S. C. Phillips, S. Taylor, M. Boniface, S. Modafferi and M. Surridge, "Automated Knowledge-Based Cybersecurity Risk Assessment
of Cyber-Physical Systems," in IEEE Access, vol. 12, pp. 82482-82505, 2024, doi: 10.1109/ACCESS.2024.3404264.
6) R. Almarwani, M. Almarwani and F. Almarwani, "AI-Driven Synthetic Threats in Cybersecurity: A User-Centered Framework for
Awareness, Detection, and Protective Behavior," in IEEE Access, vol. 14, pp. 41737-41752, 2026, doi:
10.1109/ACCESS.2026.3673980
7) R. Özbay, M. Çelebı and U. Yavanoğlu, "The AI-Cybersecurity Nexus: How Large Language Models are Reshaping Threat
Intelligence and Digital Defense," in IEEE Access, vol. 14, pp. 15558-15587, 2026, doi: 10.1109/ACCESS.2026.3658308.
8) H. Cho and S. Kim, "Threat Modeling for the Defense Industry: Past, Present, and Future," in IEEE Access, vol. 13, pp. 53276-53304,
2025, doi: 10.1109/ACCESS.2025.3550337.
9) R. Almarwani, M. Almarwani and F. Almarwani, "AI-Driven Synthetic Threats in Cybersecurity: A User-Centered Framework for
Awareness, Detection, and Protective Behavior," in IEEE Access, vol. 14, pp. 41737-41752, 2026, doi:
10.1109/ACCESS.2026.3673980
on Edge Computing and Applications (ICECAA), Namakkal, India, 2023, pp. 324-330, doi: 10.1109/ICECAA58104.2023.10212209.
2) Y. Hmimou, M. Tabaa, A. Khiat and Z. Hidila, "A Multi-Agent System for Cybersecurity Threat Detection and Correlation Using
Large Language Models," in IEEE Access, vol. 13, pp. 150199-150215, 2025, doi: 10.1109/ACCESS.2025.3602681.
3) Y. Patil, S. S. Solpaure, S. Umare and S. Bhosale, "LogInsight: A Tool for Log Analysis and Threat Detection," 2025 International
Conference on Electronics, Computing, Communication and Control Technology (ICECCC), Bengaluru, India, 2025, pp. 1-6, doi:
10.1109/ICECCC65144.
4) H. Cho and S. Kim, "Threat Modeling for the Defense Industry: Past, Present, and Future," in IEEE Access, vol. 13, pp. 53276-53304,
2025, doi: 10.1109/ACCESS.2025.3550337.
5) S. C. Phillips, S. Taylor, M. Boniface, S. Modafferi and M. Surridge, "Automated Knowledge-Based Cybersecurity Risk Assessment
of Cyber-Physical Systems," in IEEE Access, vol. 12, pp. 82482-82505, 2024, doi: 10.1109/ACCESS.2024.3404264.
6) R. Almarwani, M. Almarwani and F. Almarwani, "AI-Driven Synthetic Threats in Cybersecurity: A User-Centered Framework for
Awareness, Detection, and Protective Behavior," in IEEE Access, vol. 14, pp. 41737-41752, 2026, doi:
10.1109/ACCESS.2026.3673980
7) R. Özbay, M. Çelebı and U. Yavanoğlu, "The AI-Cybersecurity Nexus: How Large Language Models are Reshaping Threat
Intelligence and Digital Defense," in IEEE Access, vol. 14, pp. 15558-15587, 2026, doi: 10.1109/ACCESS.2026.3658308.
8) H. Cho and S. Kim, "Threat Modeling for the Defense Industry: Past, Present, and Future," in IEEE Access, vol. 13, pp. 53276-53304,
2025, doi: 10.1109/ACCESS.2025.3550337.
9) R. Almarwani, M. Almarwani and F. Almarwani, "AI-Driven Synthetic Threats in Cybersecurity: A User-Centered Framework for
Awareness, Detection, and Protective Behavior," in IEEE Access, vol. 14, pp. 41737-41752, 2026, doi:
10.1109/ACCESS.2026.3673980
Related Articles
2026
AI-Based Stomach Cancer Detection Using Biomarkers, Medical Images, and Voice Analysis
2026
Hydrogen-Efficient Eco-Driving and Route Planning for Fuel-Cell Electric Vehicles Using Multi-Objective Optimization Under Traffic and Terrain Uncertainty
2026
A Data-Driven Machine Learning Framework for Assessing Patent Commercial Value and Technological Significance
2026
Evaluating Student Academic Performance Through a Benchmark of Fuzzy Reasoning Models
2026
A Hybrid Soft Computing Approach for Managing Uncertainty in Data Analytics
2026
