Deep Learning for Insider Threat Detection: Review, Challenges and
Opportunities

Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities

25 May 2020

Shuhan Yuan

Papers citing "Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities"

7 / 7 papers shown

Title
RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises Chenyu Li Zhengjia Zhu Jiyan He Xiu Zhang 54 0 0 04 Mar 2025
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection R. Gayathri Atul Sajjanhar Md Palash Uddin Yong Xiang FedML 18 0 0 19 Sep 2024
Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches Zefang Liu John Buford 11 4 0 20 Oct 2023
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis Gayathri R.G. Atul Sajjanhar Yong Xiang AAML 11 8 0 06 Mar 2022
A Survey on Contextual Embeddings Qi Liu Matt J. Kusner Phil Blunsom 216 146 0 16 Mar 2020
Insight into Insiders and IT: A Survey of Insider Threat Taxonomies, Analysis, Modeling, and Countermeasures I. Homoliak Flavio Toffalini J. Guarnizo Yuval Elovici Martín Ochoa 55 114 0 04 May 2018
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network Jared Katzman Uri Shaham Jonathan Bates A. Cloninger Tingting Jiang Y. Kluger BDL CML OOD 104 1,231 0 02 Jun 2016