A review of recent advances, challenges, and opportunities in malicious insider threat detection using machine learning methods

FR Alzaabi, A Mehmood - IEEE Access, 2024 - ieeexplore.ieee.org
Insider threat detection has become a paramount concern in modern times where
organizations strive to safeguard their sensitive information and critical assets from …

Explainable deep learning approach for advanced persistent threats (APTs) detection in cybersecurity: a review

NHA Mutalib, AQM Sabri, AWA Wahab… - Artificial Intelligence …, 2024 - Springer
Abstract In recent years, Advanced Persistent Threat (APT) attacks on network systems have
increased through sophisticated fraud tactics. Traditional Intrusion Detection Systems (IDSs) …

A heterogeneous graph-based semi-supervised learning framework for access control decision-making

J Yin, G Chen, W Hong, J Cao, H Wang, Y Miao - World Wide Web, 2024 - Springer
For modern information systems, robust access control mechanisms are vital in
safeguarding data integrity and ensuring the entire system's security. This paper proposes a …

Insider Threat Detection: A Review

P Manoharan, J Yin, H Wang… - … on Networking and …, 2024 - ieeexplore.ieee.org
In the cyber world, insider threats significantly challenge organizational security. These
threats originate from malicious or negligent employees with authorized access, making …

Supervised Learning for Insider Threat Detection

P Manoharan - 2024 - vuir.vu.edu.au
Cyberattacks cause havoc in the digital world, but the most significant threat might be from
those who appear to be trustworthy: insiders. Insider threats pose a significant and evolving …

[HTML][HTML] Beyond Firewall: Leveraging Machine Learning for Real-Time Insider Threats Identification and User Profiling

SAD Qawasmeh, AAS AlQahtani - Future Internet, 2025 - mdpi.com
Insider threats pose a significant challenge to organizational cybersecurity, often leading to
catastrophic financial and reputational damages. Traditional tools such as firewalls and …

From Traits to Threats: Learning Risk Indicators of Malicious Insider Using Psychometric Data

N Nanamou, C Neal, N Boulahia-Cuppens… - … on Information Systems …, 2025 - Springer
While organizations are facing increased pressure from external cyberthreats, they must
also consider attacks that can originate from within the organization. Insider threat attacks …

Advanced Privacy-Preserving Decentralized Federated Learning for Insider Threat Detection in Collaborative Healthcare Institutions

KDD Newman - 2025 - search.proquest.com
The healthcare sector is embracing a digital transformation driven by technological
advancements and the quest for more effective healthcare delivery. This transformation has …

Insider Threat Detection Based on Personalized User Modeling

L Cui, Y Wang, Z Long, J Wang… - 2024 7th International …, 2024 - ieeexplore.ieee.org
In the information age, internal threats have become a major security challenge for
enterprises and organizations. Traditional methods of detecting internal threats, due to their …

Machine Learning to Accelerate Insider Attack Detection

J Ng - 2024 - search.proquest.com
Increasing volumes of user logs delays an organization's ability to identify and respond to
insider attacks. This increases their incident response times and incurs significant financial …