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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 …
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
Abstract In recent years, Advanced Persistent Threat (APT) attacks on network systems have
increased through sophisticated fraud tactics. Traditional Intrusion Detection Systems (IDSs) …
increased through sophisticated fraud tactics. Traditional Intrusion Detection Systems (IDSs) …
A heterogeneous graph-based semi-supervised learning framework for access control decision-making
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 …
safeguarding data integrity and ensuring the entire system's security. This paper proposes a …
Insider Threat Detection: A Review
In the cyber world, insider threats significantly challenge organizational security. These
threats originate from malicious or negligent employees with authorized access, making …
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 …
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
Insider threats pose a significant challenge to organizational cybersecurity, often leading to
catastrophic financial and reputational damages. Traditional tools such as firewalls and …
catastrophic financial and reputational damages. Traditional tools such as firewalls and …
From Traits to Threats: Learning Risk Indicators of Malicious Insider Using Psychometric Data
While organizations are facing increased pressure from external cyberthreats, they must
also consider attacks that can originate from within the organization. Insider threat attacks …
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 …
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 …
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 …
insider attacks. This increases their incident response times and incurs significant financial …