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[HTML][HTML] A review of insider threat detection: Classification, machine learning techniques, datasets, open challenges, and recommendations
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 …
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 …
architectures. This has reduced IT barriers and provided new capabilities of dynamic …
A performance comparison of machine learning approaches on intrusion detection dataset
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 …
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 …
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
© Analysis and detection of insider attacks using behaviour rule based architecture in
enterprise multitenancy Santosh Kumar He Page 1 © Analysis and detection of insider …
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
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 …
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
Accuracy is a measure of the capability of an algorithm, and studies use different
classification methods to improve this benchmark. However, improper data collection …
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 …
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
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 …
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 …
environment, machine learning is rapidly coming up as a fitting solution to many of the …