Ambairam Muthu Sivakrishna

@nitt.edu

Research Scholar
National Institute of Technology Tiruchirappalli

Ambairam Muthu Sivakrishna


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https://researchid.co/krish240

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition
4

Scopus Publications

59

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Cyber insights: exploring the effectiveness of image-based and vector-based feature representations in insider threat detection
    Krunal Dhanraj Randive, R. Mohan, Ambairam Muthu Sivakrishna
    International Journal of Data Science and Analytics, 2026
  • Temporal Quantum Neural Networks for Insider Threat Detection
    Ambairam Muthu Sivakrishna, R. Mohan, Naveen Suresh Nair, Valaparla Rohini
    6th IEEE International Conference on Recent Advances in Information Technology Rait 2025, 2025
    Cyber-security plays a major role in protecting sensitive information in this digital era. In Cyber attacks identifying the internal threats are extremely difficult than the external one as the attack is performed the people who is having access to the sensitive information of the organization. Moreover due to diversity & volume of data, motive of the insider and rarity of attack makes it very hard to identify such insiders. The existing insider threat detection approaches has limitations like lower precision and granularity of features to be considered. In this regard, Principal Component Analysis(PCA) based dimensionality reduction and Quantum Neural Network(QNN) based detection approach has been proposed. The SEI CMU’s benchmark CERTr4.2 dataset is considered for evaluating this proposed approach. The feature vectors are constructed based on the day-wise temporal behavioral activities of employees. The proposed approach identifies insiders with an Accuracy of $\mathbf{9 3. 7 7 \%}$, Precision of $\mathbf{9 3. 8 9 \%}$, Recall of $\mathbf{9 9. 6 7 \%}$, F1-score of $\mathbf{9 6. 6 9 \%}$, which shows the effectiveness of the quantum inspired approach to tackle this threat.
  • Insider Threat Detection on CERT Data Using Pre-trained ResNet
    Valaparla Rohini, R Mohan, Ambairam Muthu Sivakrishna
    2024 Global Conference on Communications and Information Technologies Gccit 2024, 2024
    The detrimental cyber-attacks frequently originate from individuals or insiders within an organization who are considered reliable and trustworthy, as opposed to individuals with suspicious motives from outside the organization. This insider is difficult to detect, as it may not leave any evidence behind, yet possesses the potential to cause considerable harm to the organization. To tackle this issue, numerous researchers have diligently sought out various methods to effectively identify insider threats. These methods employed for the identification of insiders within an organization who pose a threat from within have been proven to yield elevated rates of false alarms, which in turn lead to a state of disarray and confusion within the organizational framework, consequently resulting in a dampening of morale among the members of the organization due to the disruption of their regular work. Therefore, a methodology was presented for categorizing insider threats that are motivated by the effectiveness of the classification of the images. The publicly available CERT r4.2 standard insider threat dataset was used and to avoid the class imbalance issue data augmentation was applied. The objective of this research is to detect insider threats and evaluate the ResNet50 model. Finally, the approach has achieved 97.54% accuracy and classified the insider threat efficiently.
  • An efficient pattern-based approach for insider threat classification using the image-based feature representation
    Krunal Randive, R. Mohan, Ambairam Muthu Sivakrishna
    Journal of Information Security and Applications, 2023

RECENT SCHOLAR PUBLICATIONS

  • Cyber insights: exploring the effectiveness of image-based and vector-based feature representations in insider threat detection
    KD Randive, R Mohan, AM Sivakrishna
    International Journal of Data Science and Analytics 21 (1), 13 , 2026
    2026
    Citations: 1
  • An Adaptive Insider Threat Detection Framework Using Causal Analysis and Liquid Neural Networks
    AM Sivakrishna, R Mohan, SK Anumandla
    Security and Privacy 9 (1), e70157 , 2026
    2026
    Citations: 1
  • QUANT-IT: Quantum Embeddings with NGBoost for Insider Threat Detection
    AM Sivakrishna, M Ramasundaram, V Rohini
    2025 IEEE 9th International Conference on Information and Communication … , 2025
    2025
  • An Efficient Insider Threat Detection Framework Using Bayesian‐Optimized XGBoost
    AM Sivakrishna, R Mohan, V Rohini
    Security and Privacy 8 (6), e70122 , 2025
    2025
    Citations: 2
  • Temporal Quantum Neural Networks for Insider Threat Detection
    AM Sivakrishna, R Mohan, NS Nair, V Rohini
    2025 6th International Conference on Recent Advances in Information … , 2025
    2025
    Citations: 7
  • Insider threat detection on cert data using pre-trained resnet
    V Rohini, R Mohan, AM Sivakrishna
    2024 Global Conference on Communications and Information Technologies (GCCIT … , 2024
    2024
    Citations: 4
  • AUBIT: An adaptive user behaviour based insider threat detection technique using LSTM-autoencoder
    AM Sivakrishna, R Mohan, K Randive
    Recent Trends in Computational Intelligence and Its Application, 267-274 , 2023
    2023
    Citations: 8
  • An efficient pattern-based approach for insider threat classification using the image-based feature representation
    K Randive, R Mohan, AM Sivakrishna
    Journal of Information Security and Applications 73, 103434 , 2023
    2023
    Citations: 36

MOST CITED SCHOLAR PUBLICATIONS

  • An efficient pattern-based approach for insider threat classification using the image-based feature representation
    K Randive, R Mohan, AM Sivakrishna
    Journal of Information Security and Applications 73, 103434 , 2023
    2023
    Citations: 36
  • AUBIT: An adaptive user behaviour based insider threat detection technique using LSTM-autoencoder
    AM Sivakrishna, R Mohan, K Randive
    Recent Trends in Computational Intelligence and Its Application, 267-274 , 2023
    2023
    Citations: 8
  • Temporal Quantum Neural Networks for Insider Threat Detection
    AM Sivakrishna, R Mohan, NS Nair, V Rohini
    2025 6th International Conference on Recent Advances in Information … , 2025
    2025
    Citations: 7
  • Insider threat detection on cert data using pre-trained resnet
    V Rohini, R Mohan, AM Sivakrishna
    2024 Global Conference on Communications and Information Technologies (GCCIT … , 2024
    2024
    Citations: 4
  • An Efficient Insider Threat Detection Framework Using Bayesian‐Optimized XGBoost
    AM Sivakrishna, R Mohan, V Rohini
    Security and Privacy 8 (6), e70122 , 2025
    2025
    Citations: 2
  • Cyber insights: exploring the effectiveness of image-based and vector-based feature representations in insider threat detection
    KD Randive, R Mohan, AM Sivakrishna
    International Journal of Data Science and Analytics 21 (1), 13 , 2026
    2026
    Citations: 1
  • An Adaptive Insider Threat Detection Framework Using Causal Analysis and Liquid Neural Networks
    AM Sivakrishna, R Mohan, SK Anumandla
    Security and Privacy 9 (1), e70157 , 2026
    2026
    Citations: 1
  • QUANT-IT: Quantum Embeddings with NGBoost for Insider Threat Detection
    AM Sivakrishna, M Ramasundaram, V Rohini
    2025 IEEE 9th International Conference on Information and Communication … , 2025
    2025