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Forensic-Ready Approaches to Insider Threat Mitigation and Human Behavior Analysis
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Author(s): Pridhi Arora (Delhi Technical Campus, Greater Noida, India), Padmesh Tripathi (Delhi Technical Campus, Greater Noida, India)and Seema Verma (Delhi Technical Campus, Greater Noida, India)
Copyright: 2026
Pages: 30
Source title:
Cyber Forensic Frameworks for User-Centric Human Threat Intelligence Analysis
Source Author(s)/Editor(s): Seifedine Kadry (Lebanese American University, Lebanon), Mritunjay Rai (Shri Ramswaroop Memorial University, Barabanki, India)and Padmesh Tripathi (Delhi Technical Campus, Greater Noida, India)
DOI: 10.4018/979-8-3373-4898-8.ch014
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Abstract
Insider threats are a cybersecurity risk that comes from people who already have authorized access to an organization's systems and information. This chapter provides a deep understanding of how to use cutting-edge technological tools along with the insights from human behavior that can help us to detect and stop insider threats. The chapter starts by defining insider threats and their various forms. It analyzes various internal breaches and explains why the traditional security methods are ineffective in identifying them. We further explain the need for modern frameworks that include pattern analysis of the activities, machine learning, identity and access controls, and detection of unusual activities. The chapter focuses on how the behavioral analysis can be used to identify the suspicious activity. After examining the unusual activities, we discuss methods to prevent them by implementing the proper access control, training employees, securing the sensitive data, and adoption of a zero-trust security model. Legal and ethical concerns are also covered in this chapter.
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