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

S Yuan, X Wu - Computers & Security, 2021 - Elsevier
Insider threats, as one type of the most challenging threats in cyberspace, usually cause
significant loss to organizations. While the problem of insider threat detection has been …

A review of insider threat detection: Classification, machine learning techniques, datasets, open challenges, and recommendations

MN Al-Mhiqani, R Ahmad, Z Zainal Abidin, W Yassin… - Applied Sciences, 2020 - mdpi.com
Insider threat has become a widely accepted issue and one of the major challenges in
cybersecurity. This phenomenon indicates that threats require special detection systems …

Enhancing false negative and positive rates for efficient insider threat detection

M AlSlaiman, MI Salman, MM Saleh, B Wang - Computers & Security, 2023 - Elsevier
Insider threats on information security can become a burden for organizations. However,
outsider attacks have received more attention compared to insider attacks. Many …

Insider threat detection with deep neural network

F Yuan, Y Cao, Y Shang, Y Liu, J Tan… - … Science–ICCS 2018: 18th …, 2018 - Springer
Insider threat detection has attracted a considerable attention from the researchers and
industries. Existing work mainly focused on applying machine-learning techniques to …

Machine learning based insider threat modelling and detection

DC Le, AN Zincir-Heywood - 2019 IFIP/IEEE Symposium on …, 2019 - ieeexplore.ieee.org
Recently, malicious insider attacks represent one of the most damaging threats to
companies and government agencies. This paper proposes a new framework in …

Exploring feature normalization and temporal information for machine learning based insider threat detection

P Ferreira, DC Le… - 2019 15th International …, 2019 - ieeexplore.ieee.org
Insider threat is one of the most damaging cyber security attacks to companies and
organizations. In this paper, we explore different techniques to leverage spatial and …

Anomaly detection for insider threats using unsupervised ensembles

DC Le, N Zincir-Heywood - IEEE Transactions on Network and …, 2021 - ieeexplore.ieee.org
Insider threat represents a major cybersecurity challenge to companies, organizations, and
government agencies. Insider threat detection involves many challenges, including …

Temporal feature aggregation with attention for insider threat detection from activity logs

P Pal, P Chattopadhyay, M Swarnkar - Expert Systems with Applications, 2023 - Elsevier
Nowadays, insider attacks are emerging as one of the top cybersecurity threats. However,
the detection of insider threats is a more arduous task for many reasons. A significant cause …

Analyzing data granularity levels for insider threat detection using machine learning

DC Le, N Zincir-Heywood… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Malicious insider attacks represent one of the most damaging threats to networked systems
of companies and government agencies. There is a unique set of challenges that come with …

Exploring anomalous behaviour detection and classification for insider threat identification

DC Le, N Zincir‐Heywood - International Journal of Network …, 2021 - Wiley Online Library
Recently, malicious insider threats represent one of the most damaging threats to
companies and government agencies. Insider threat detection is a highly skewed data …