Temporal feature aggregation with attention for insider threat detection from activity logs
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Pal et al. (2023) used stacked LSTM and GRU-based attention models for insider threat identification, demonstrating robustness with an average AUC of 0.99.
“Pal et al. (2023) [49] focused on the identification of insider threats with the use of a combination of stacked LSTM as well as GRU-based attention models, demonstrating robustness with an average AUC of 0.99.”
From A systematic review on insider threat detection using natural language processing (2025) · cites this paper as [49]
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Montano, I. H., Diaz, J. R., Aranda, J. J. G., Molina-Cardín, S., López, J. J. G., & Díez, I. D. L. T. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.124470 · Cited by 4 · see citing works
Insider Threat Detection Based on User and Entity Behavior Analysis with a Hybrid Model
Song, Y., & Yuan, J. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-75764-8_17 · Cited by 6 · see citing works
An Efficient Insider Threat Detection Framework Using Bayesian‐Optimized XGBoost
Sivakrishna, A. M., Mohan, R., & Rohini, V. (2025) · Security and Privacy · doi:10.1002/spy2.70122 · Cited by 5 · see citing works
Insider Threat Detection on CERT Data Using Pre-trained ResNet
Rohini, V., Mohan, R., & Sivakrishna, A. M. (2024) · Global Conference on Communications and Information Technologies (GCCIT) · doi:10.1109/gccit63234.2024.10862896 · Cited by 3 · see citing works
A Framework for Insider Threat Detection Using Role-Based Profile Assessment and Threshold
Al-Na’amneh, Q., Aljawarneh, M. M., & Hazaymih, R. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-9919-4.ch006 · Cited by 3 · see citing works
MSGL: A multi-scale group learning model for insider threat detection
Pang, M., Ou, W., Meng, W., Shen, M., Yue, Q., & Han, W. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.132379 · Cited by 2 · see citing works
Cyber Resilience for SDG Towards the Digitization: An Imperial Study
Barik, K., Misra, S., Mishra, B., Maathuis, C., & Chockalingam, S. (2024) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-031-53433-1_18 · Cited by 3 · see citing works
Insider Threat Detection in User Activity Data Using Optimized LSTM-AE
Kumar, M. K., Kumari, S., Bharathi, M., Lavanya, P., Glory, H. A., & Sriram, V. S. S. (2025) · Lecture Notes on Data Engineering and Communications Technologies · doi:10.1007/978-981-96-0451-7_21 · Cited by 2 · see citing works
Randive, K. D., Mohan, R., & Sivakrishna, A. M. (2025) · International Journal of Data Science and Analytics · doi:10.1007/s41060-025-00960-3 · Cited by 2 · see citing works
ISFL-AE: Insider-Specific Feature Learning Autoencoder for Lightweight Insider Threat Detection
Kim, Y., & Kim, Y.-G. (2026) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2026.3659000 · Cited by 1 · see citing works
Integrating Human Factors into Insider Threat Detection – A Systematic Review
Pathirana, N., Roberts, R., Kalutarage, H., & McDermott, C. D. (2026) · ACM Computing Surveys · doi:10.1145/3798089 · Cited by 1 · see citing works
“[89] DL-based detection of insider threats in enterprise environments.”
Systematic Literature Review and Metadata Analysis of Insider Threat Detection Mechanism
Idris, I., & Damilola, A. N. (2023) · International Journal of Computer Science and Mobile Computing · doi:10.47760/ijcsmc.2023.v12i04.007 · Cited by 1 · see citing works
Lavanya, P., Glory, H. A., Aggarwal, M., & Sriram, V. S. S. (2025) · Scientific Reports · doi:10.1038/s41598-025-12127-y · Cited by 1 · see citing works
MITD-Net: Markov image-based threat detection network
Algabri, M. N. A., Alhrazi, F., Luis, C. Q., Abdu, A., Gu, Y. H., & Algabri, R. (2025) · Scientific Reports · doi:10.1038/s41598-025-19275-1 · Cited by 1 · see citing works
Faqihi, R., Nanda, P., Mohanty, M., Alqahtani, S., & Alrashed, B. (2025) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa66935.2025.11315452 · Cited by 1 · see citing works
Log2Sig: Frequency-Aware Insider Threat Detection via Multivariate Behavioral Signal Decomposition
Kong, K., Liu, D., Jin, X., Li, Z., & Geng, G. (2025) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom66490.2025.00340 · Cited by 1 · see citing works
Rohini, V., & Mohan, R. (2026) · Knowledge-Based Systems · doi:10.1016/j.knosys.2026.116407 · Cited by 1 · see citing works
Singh, S., & Chattopadhyay, P. (2023) · IEEE India Conference · doi:10.1109/indicon59947.2023.10440886 · Cited by 1 · see citing works
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Deep Learning and Blockchain for Detection and Prevention Abuse of Privileges
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Wang, J., Zheng, D., Xie, D., & Fang, Y. K. (2024) · International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR) · doi:10.1145/3718751.3718857
Rule-Based Learning for Explainable XGBoost Internal Threat Detection
Qiu, Y., Sun, L., Wu, J., Gao, Y., & Yang, J. (2025) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-97352-9_28
SlotITD: Insider Threat Detection Method Using Slot-Based Heterogeneous Graph Neural Network
Zhang, C., Qi, Y., Zhu, Y., Jiang, B., Lu, Z., & Guo, T. (2025) · Communications in computer and information science · doi:10.1007/978-981-95-4100-3_34
LogCALM: a log-based causal discovery and semantic modeling approach for network fault diagnosis
Ye, X., Wang, X., Zhou, Y., Kong, X., & Qi, H. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.130553
Levonevskiy, D. K., & Motienko, A. I. (2025) · International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA) · doi:10.1109/summa68668.2025.11302396
QUANT-IT: Quantum Embeddings with NGBoost for Insider Threat Detection
Sivakrishna, A. M., Ramasundaram, M., Rasikannan, L., & Rohini, V. (2025) · IEEE Conference on Information and Communication Technology (CICT) · doi:10.1109/cict67193.2025.11399119
Change-Aware Temporal Alignment on Heterogeneous Graph Snapshots for Insider Threat Detection
Yang, M., Zhou, Y., Wu, D., Pang, G., & Zhu, C. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11461839
Scenario Driven Insider Threat Detection Using Dual Modelling Architecture
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BTITD: an insider threat detection method based on behavior-timestamp dual-stream network
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Kaichuan, K., Liu, D., Jin, X., & Geng, G. (2026) · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · doi:10.1109/cscwd68734.2026.11581710
Kundiya, K., & Haribhakta, Y. V. (2026) · IEEE Access · doi:10.1109/access.2026.3726811
Hashmi, A. S., Munib, S., Hussain, H., & Kiani, A. A. (2026) · International Journal of Innovations in Science and Technology · doi:10.33411/ijist/2033
Explainable Transformer Models for Insider Threat Detection in Enterprise Systems
Al-Dhaqm, A., Bamasoud, D. M., Brnawy, R., Bamaqa, A., Alharbi, A. A., & Aljubayri, I. (2026) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.21281
- Authors
- Pal, P., Chattopadhyay, P., & Swarnkar, M.
- Affiliations
- Indian Institute of Technology BHU (IN)
- Corresponding author
- Chattopadhyay, Pratik
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2023-08
- Volume
- 224
- Pages
- 119925
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W4328053447
- Cited by
- 52
- References
- 112
- Citations by year
- 2026: 12 · 2025: 20 · 2024: 14 · 2023: 6
- FWCI
- 5.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Expert Systems with Applications (publishedVersion)
- Funders
- Banaras Hindu University
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Keywords
- insider threat detection, activity logs, temporal feature aggregation, attention mechanism, stacked LSTM, ensemble learning, class imbalance, user behavior modeling
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