Improving Insider Threat Detection Through Multi-Modelling/Data Fusion

Author:

Brown David P.,Buede Dennis,Vermillion Sean D.

Publisher

Elsevier BV

Subject

General Engineering

Reference20 articles.

1. US Secret Service, Software Engineering Institute CERT Program at Carnegie Mellon University, and Deloitte;2011 Cybersecurity Watch Survey,2011

2. A Model of Deliberation Based on Rawls’s Political Liberalism;Benhenda;Social Choice and Welfare,2011

3. Robustness in the strategy of scientific model building;Box,1979

4. Errors Associated with Simple versus Realistic Models.;Buede;Computational and Mathematical Organization Theory.,2010

5. The CERT guide to insider threats: How to prevent, detect, and respond to information technology crimes (theft, sabotage, fraud);Cappelli,2012

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1. A Review of the Insider Threat, a Practitioner Perspective Within the U.K. Financial Services;IEEE Access;2024

2. User Behaviour based Insider Threat Detection using a Hybrid Learning Approach;Journal of Ambient Intelligence and Humanized Computing;2023-03-05

3. Predictive validity of integrity tests for workplace deviance across industries and countries in the past 50 years: A meta-analytic review;Journal of Pacific Rim Psychology;2023-01

4. Multi-source data fusion for insider threat detection using residual networks;2022 3rd International Conference on Electronics, Communications and Information Technology (CECIT);2022-12

5. A review for insider threats detection using machine learning;INNOVATIONS IN COMPUTATIONAL AND COMPUTER TECHNIQUES: ICACCT-2021;2022

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