1. Ambairam Muthu Sivakrishna, R. Mohan, and Sai Keerthana Anumandla. “An Adaptive Insider Threat Detection Framework Using Causal Analysis and Liquid Neural Networks.” Security and Privacy, Volume 9, Issue 1, Article e70157, 2026. Publisher: Wiley (John Wiley & Sons Ltd). DOI: 10.1002/spy2.70157. (Impact factor: 2.9, Indexing: ESCI (Web of Science)).

2. Ambairam Muthu Sivakrishna, R. Mohan, and Valaparla Rohini. “An Efficient Insider Threat Detection Framework Using Bayesian-Optimized XGBoost.” Security and Privacy, Volume 8, Issue 6, Article e70122, 2025. Publisher: Wiley (John Wiley & Sons Ltd). DOI: 10.1002/spy2.70122. (Impact factor: 2.9, Indexing: ESCI (Web of Science)).

3. Krunal Dhanraj Randive, R. Mohan, and Ambairam Muthu Sivakrishna. “Cyber insights: exploring the effectiveness of image-based and vector-based feature representations in insider threat detection.” International Journal of Data Science and Analytics, Volume 21, Issue 1, Article 13, 2026. Publisher: Springer Nature. DOI: 10.1007/s41060-025-00960-3. (Impact factor: 2.9; Indexing: ESCI (Web of Science), Scopus).

4. Krunal Randive, R. Mohan, and Ambairam Muthu Sivakrishna. “An efficient pattern-based approach for insider threat classification using the image-based feature representation.” Journal of Information Security and Applications, Volume 73, Article 103434, 2023 (no separate issue specified). Publisher: Elsevier. DOI: 10.1016/j.jisa.2023.103434. (Impact factor: 4.4, Indexing: SCIE (Web of Science), Scopus).

1. Ambairam Muthu Sivakrishna and Mohan Ramasundaram. “TRUST-IT: Trustworthy User-Level Security Learning for Insider Threat Detection,” International Conference on Quantum Enhanced AI & Secure Computing (QASC 2026), Grambling State University and Chicago State University, USA, 25–27 September 2026. (Accepted and Presented)

2. Valaparla Rohini, R. Mohan, and Ambairam Muthu Sivakrishna. “Insider Threat Detection: A Comprehensive Review of Evolving Detection Techniques, Datasets, and Challenges,” 4th International Conference on Artificial Intelligence: Theory and Applications (AITA 2026), IBS Bengaluru, India, 7–8 August 2026. (Accepted and Presented)

3. Ambairam Muthu Sivakrishna, Mohan Ramasundaram, Rasikannan L., and Valaparla Rohini. “QUANT-IT: Quantum Embeddings with NGBoost for Insider Threat Detection,” 2025 IEEE 9th International Conference on Information and Communication Technology (CICT), IIITDM Kancheepuram, Chennai, India, 19–21 December 2025, pp. 1–6. DOI: 10.1109/CICT67193.2025.11399119.

4. Ambairam Muthu Sivakrishna, R. Mohan, Naveen Suresh Nair, and Valaparla Rohini. “Temporal Quantum Neural Networks for Insider Threat Detection,” 2025 6th International Conference on Recent Advances in Information Technology (RAIT), IIT (ISM) Dhanbad, India, 6–8 March 2025, pp. 1–6. DOI: 10.1109/RAIT65068.2025.11089064.

5. Valaparla Rohini, R. Mohan, and Ambairam Muthu Sivakrishna. “Insider Threat Detection on CERT Data Using Pre-trained ResNet,” 2024 Global Conference on Communications and Information Technologies (GCCIT), REVA University, Bengaluru, India, 25–26 October 2024, pp. 1–6. DOI: 10.1109/GCCIT63234.2024.10862896.

Book Chapters

1. Ambairam Muthu Sivakrishna, R. Mohan, and Krunal Randive. “AUBIT: An Adaptive User Behaviour Based Insider Threat Detection Technique Using LSTM-Autoencoder,” in Recent Trends in Computational Intelligence and Its Application, CRC Press, 2023, pp. 267–274. DOI: 10.1201/9781003388913-36.