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Original Article
MINISIEM: A Log Analysis & Security Monitoring System
Dr. V. Dhanakoti1
Charan Raj K2
Akash D3
Hamsahaasan G4
1 Professor, Computer Science and Engineering, SRM Valliammai Engineering College, Chennai, Tamilnadu, India. 2 3 4 Computer Science and Engineering, SRM Valliammai Engineering College, Chennai, Tamilnadu, India.
Published Online: March-April 2026
Pages: 231-239
Cite this article
↗ https://www.doi.org/10.59256/ijrtmr.20260602032References
1. S. Partovian et. al., “Analysis of Log Files to Enable Smart-Troubleshooting in Industry 4.0: A Systematic Mapping Study,” IEEE Access,
vol. 12, pp. 147640–147660, 2024.
2. T. Marlaithong et. al., “A Log Parsing Framework for ALICE O2 Facilities,” IEEE Access, vol. 11, pp. 69439–69457, 2023.
3. M. Raeiszadeh et. al., “ALogSCAN: A Self-Supervised Dual Network for Adaptive and Timely Log Anomaly Detection in Clouds,” IEEE
Transactions on Machine Learning in Communications and Networking, 2025.
4. A. Horváth et. Al., “Anomaly Detection Algorithms for Real-Time Log Data Analysis at Scale,” IEEE Access, vol. 13, 2025.
5. A. Alzamil et. al., “DualBERT: Fusing Symbolic and Temporal Dynamics for High-Precision Log Anomaly Detection,” IEEE Access,
vol. 14, 2026.
6. Y. Aboudrar et. al., “AI-Driven Firewall Log Analysis: Enhancing Threat Detection with Deep Learning Techniques,” International Journal
of Advanced Computer Science and Applications, vol. 16, no. 7, pp. 808–815, 2025.
7. M. Schufrin et. al., “Visual Firewall Log Analysis – At the Border between Analytical and Appealing,” IEEE Visualization Workshop,
2018.
8. J. K. Lee et. al., “Traffic and Overhead Analysis of Applied Pre-filtering ACL Firewall on HPC Service Network,” Journal of
Communications and Networks, vol. 23, no. 3, pp. 192–200, 2021.
9. L. Durante et. al., “A Formal Model and Technique to Redistribute the Packet Filtering Load in Multiple Firewall Networks,” IEEE
Transactions on Information Forensics and Security, vol. 16, pp. 2637–2648, 2021.
10. G. Black et. al., “Descriptor: Firewall Attack Detections and Extractions (FADE),” IEEE Data Descriptions, 2025
vol. 12, pp. 147640–147660, 2024.
2. T. Marlaithong et. al., “A Log Parsing Framework for ALICE O2 Facilities,” IEEE Access, vol. 11, pp. 69439–69457, 2023.
3. M. Raeiszadeh et. al., “ALogSCAN: A Self-Supervised Dual Network for Adaptive and Timely Log Anomaly Detection in Clouds,” IEEE
Transactions on Machine Learning in Communications and Networking, 2025.
4. A. Horváth et. Al., “Anomaly Detection Algorithms for Real-Time Log Data Analysis at Scale,” IEEE Access, vol. 13, 2025.
5. A. Alzamil et. al., “DualBERT: Fusing Symbolic and Temporal Dynamics for High-Precision Log Anomaly Detection,” IEEE Access,
vol. 14, 2026.
6. Y. Aboudrar et. al., “AI-Driven Firewall Log Analysis: Enhancing Threat Detection with Deep Learning Techniques,” International Journal
of Advanced Computer Science and Applications, vol. 16, no. 7, pp. 808–815, 2025.
7. M. Schufrin et. al., “Visual Firewall Log Analysis – At the Border between Analytical and Appealing,” IEEE Visualization Workshop,
2018.
8. J. K. Lee et. al., “Traffic and Overhead Analysis of Applied Pre-filtering ACL Firewall on HPC Service Network,” Journal of
Communications and Networks, vol. 23, no. 3, pp. 192–200, 2021.
9. L. Durante et. al., “A Formal Model and Technique to Redistribute the Packet Filtering Load in Multiple Firewall Networks,” IEEE
Transactions on Information Forensics and Security, vol. 16, pp. 2637–2648, 2021.
10. G. Black et. al., “Descriptor: Firewall Attack Detections and Extractions (FADE),” IEEE Data Descriptions, 2025
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