[HTML][HTML] 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 …

Hybrid intrusion detection system using machine learning

A Meryem, BEL Ouahidi - Network Security, 2020 - magonlinelibrary.com
Recent technologies and innovations have encouraged users to adopt cloud-based
architectures. This has reduced IT barriers and provided new capabilities of dynamic …

A performance comparison of machine learning approaches on intrusion detection dataset

VS Manvith, RV Saraswathi… - 2021 Third International …, 2021 - ieeexplore.ieee.org
The network is a prominent aspect of communication. The network facilitates devices to
exchange information between individuals and led to massive growth in the networking field …

Review on insider threat detection techniques

TO Oladimeji, CK Ayo… - Journal of Physics …, 2019 - iopscience.iop.org
An insider, also regarded as an employee of a company, becomes a threat when the
intention or action can affect the company negatively. Insider threat has been an eminent …

[PDF][PDF] Analysis and detection of insider attacks using behaviour rule based architecture in enterprise multitenancy

SK Henge, A Upadhyay, AK Saini… - J Discrete Math Sci …, 2023 - researchgate.net
© Analysis and detection of insider attacks using behaviour rule based architecture in
enterprise multitenancy Santosh Kumar He Page 1 © Analysis and detection of insider …

Anomaly Detection over SDN Using Machine Learning and Deep Learning for Securing Smart City

R Batra, VK Shrivastava, AK Goel - Green Internet of Things for …, 2021 - taylorfrancis.com
The security over data is now a major concern for all applications. Attacks over data are
going to be increasing day by day. Therefore, there is a need of security mechanism over all …

The effect of class imbalance against LVQ classification

R Abdillah, S Sanjaya, I Afrianty - 2018 2nd International …, 2018 - ieeexplore.ieee.org
Accuracy is a measure of the capability of an algorithm, and studies use different
classification methods to improve this benchmark. However, improper data collection …

Systematic Literature Review and Metadata Analysis of Insider Threat Detection Mechanism

I Ismaila, ND Adeleke - 2023 - ir.futminna.edu.ng
nsider threat refers to the risk caused to an organization's security, assets, or data by
individuals who have authorized access to these resources, such as employees, contractors …

Intrusion detection and prevention of DDoS attacks in cloud computing environment: a review on issues and current methods

BSK Devi, T Subbulakshmi - International Journal of Cloud …, 2023 - inderscienceonline.com
Cloud computing has emerged as the most successful service model for the IT/ITES
community due to the various long-term incentives offered in terms of reduced cost …

Intrusion Detection using Nature‐Inspired Algorithms and Automated Machine Learning

V Awatramani, P Gupta - Smart and Sustainable Intelligent …, 2021 - Wiley Online Library
With the surge of awareness and strategies against threats in space of the modern digital
environment, machine learning is rapidly coming up as a fitting solution to many of the …