Insider Threat Detection in User Activity Data Using Optimized LSTM-AE
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The contributions of the green cluster scholars frequently explore LSTM, RNN, and Autoencoder-based techniques for complex insider behavior profiling.
“Their contributions frequently explore the application of LSTM, RNN, and Autoencoder-based techniques to complex insider behavior profiling, as shown in works such as [16,30,45,47].”
From Application of Machine Learning and Deep Learning Techniques for Enhanced Insider Threat Detection in Cybersecurity: Bibliometric Review (2025) · cites this paper as [45]
Cites
Temporal feature aggregation with attention for insider threat detection from activity logs
Pal, P., Chattopadhyay, P., & Swarnkar, M. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.119925 · Cited by 52 · see citing works
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Ofori, H. K., Bell-Dzide, K., Brown-Acquaye, W. L., Lempogo, F., Frimpong, S. O., Agbehadji, I. E., & Millham, R. C. (2025) · Symmetry · doi:10.3390/sym17101704 · Cited by 7 · see citing works
- Authors
- Kumar, M. K., Kumari, S., Bharathi, M., Lavanya, P., Glory, H. A., & Sriram, V. S. S.
- Affiliations
- SASTRA University (IN)
- Corresponding author
- Glory, H. Anila
- Venue
- Lecture Notes on Data Engineering and Communications Technologies
- Publisher
- Springer Nature Singapore
- Published
- 2025
- Pages
- 287-300
- ISSN
- 2367-4512 (ISSN-L)
- 2367-4520
- OpenAlex
- W4409100197
- Cited by
- 2
- References
- 1
- Citations by year
- 2026: 1 · 2025: 1
- FWCI
- 2.48
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Lecture notes on data engineering and communications technologies (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Physical Sciences › Computer Science › Artificial Intelligence › Anomaly Detection Techniques and Applications
- Keywords
- insider threat detection, user activity data, LSTM autoencoder, anomaly detection, user behavior analysis, intrusion detection
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