Contrastive Learning for Insider Threat Detection

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning

Du, M., Li, F., Zheng, G., & Srikumar, V. (2017) · Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/3133956.3134015 · Cited by 1,835 · see citing works

Bridging the Gap: A Pragmatic Approach to Generating Insider Threat Data

Glasser, J., & Lindauer, B. (2013) · 2013 IEEE Security and Privacy Workshops · doi:10.1109/spw.2013.37 · Cited by 344 · see citing works

Deep learning for insider threat detection: Review, challenges and opportunities

Yuan, S., & Wu, X. (2021) · Computers & Security · doi:10.1016/j.cose.2021.102221 · Cited by 271 · see citing works

Contrastive Learning with Stronger Augmentations

Wang, X., & Qi, G.-J. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3203630 · Cited by 266 · see citing works

Insider Threat Detection with Deep Neural Network

Yuan, F., Cao, Y., Shang, Y., Liu, Y., Tan, J., & Fang, B. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-93698-7_4 · Cited by 168 · see citing works

VEWS

Kumar, S., Spezzano, F., & Subrahmanian, V. S. (2015) · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/2783258.2783367 · Cited by 95 · see citing works

Insider Threat Detection with Long Short-Term Memory

Lu, J., & Wong, R. K. (2019) · Australasian Computer Science Week Multiconference (ACSW) · doi:10.1145/3290688.3290692 · Cited by 78 · see citing works

Insider Threat Detection Based on Deep Belief Network Feature Representation

Lin, L., Zhong, S., Jia, C., & Chen, K. (2017) · 2017 International Conference on Green Informatics (ICGI) · doi:10.1109/icgi.2017.37 · Cited by 64 · see citing works

Fighting Class Imbalance with Contrastive Learning

Marrakchi, Y., Makansi, O., & Brox, T. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87199-4_44 · Cited by 59 · see citing works

Insider Threat Detection via Hierarchical Neural Temporal Point Processes

Yuan, S., Zheng, P., Wu, X., & Li, Q. (2019) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata47090.2019.9005589 · Cited by 52 · see citing works

Few-shot Insider Threat Detection

Yuan, S., Zheng, P., Wu, X., & Tong, H. (2020) · Proceedings of the 29th ACM International Conference on Information & Knowledge Management · doi:10.1145/3340531.3412161 · Cited by 36 · see citing works

LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection

Cai, X., Wang, Y., Xu, S., Li, H., Zhang, Y., Liu, Z., & Yuan, X. (2024) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2024.3488527 · Cited by 40 · see citing works

A systematic review on insider threat detection using natural language processing

Kundiya, K., & Haribhakta, Y. (2025) · International Journal of Information Security · doi:10.1007/s10207-025-01145-6 · Cited by 9 · see citing works

Application of Machine Learning and Deep Learning Techniques for Enhanced Insider Threat Detection in Cybersecurity: Bibliometric Review

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

Explainable Sequential Anomaly Detection via Prototypes

Cheng, H., Xu, D., & Yuan, S. (2023) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn54540.2023.10191703 · Cited by 5 · see citing works

Robust Fraud Detection via Supervised Contrastive Learning

Vinay, M. S., Yuan, S., & Wu, X. (2023) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata59044.2023.10386925 · Cited by 3 · see citing works

Contrastive Learning for Fraud Detection from Noisy Labels

Vinay, M. S., Yuan, S., & Wu, X. (2024) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde60146.2024.00117 · Cited by 2 · see citing works

LSTM-Diff: A Data Generation Method for Imbalanced Insider Threat Detection

Tian, T., Zhu, Y., An, N., Jiang, B., Feng, H., & Lu, Z. (2024) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom63139.2024.00037 · Cited by 2 · see citing works

PrivGITD: A High Accuracy and Privacy-Preserving Graph Convolutional Network for Insider Threat Detection

Li, X., Geng, H., Li, L., Liu, F., & Li, C. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2026.3672783 · Cited by 1 · see citing works

Anomaly-Based Insider Threat Detection via Hierarchical Information Fusion

Wang, E., Li, Q., Zhao, S., & Han, X. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-44213-1_2 · Cited by 1 · see citing works

Detecting Insider Threat from Behavioral Logs Based on Ensemble and Self-Supervised Learning

Zhang, C., Wang, S., Zhan, D., Yu, T., Wang, T., & Yin, M. (2021) · Security and Communication Networks · doi:10.1155/2021/4148441 · Cited by 30 · see citing works

Exploring Adversarial Properties of Insider Threat Detection

Le, D. C., & Zincir-Heywood, N. (2020) · 2020 IEEE Conference on Communications and Network Security (CNS) · doi:10.1109/cns48642.2020.9162254 · Cited by 17 · see citing works

Anomaly Detection for Insider Threats Using Unsupervised Ensembles

Le, D. C., & Zincir-Heywood, N. (2021) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2021.3071928 · Cited by 147 · see citing works

Machine Learning-Based Approaches for Malicious Insider Threat Detection: a Survey of Recent Advances and Open Issues

Tenali, R. K., & Chamundeeswari, V. V. (2025) · doi:10.1109/icoiics67115.2025.11390400 · Cited by 1 · see citing works

Machine Learning based Framework for User-Centered Insider Threat Detection

Le, D. (2021) · DalSpace (Dalhousie University)