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Leveraging AI for Behavioural Analysis of Digital Forensic Artifacts in Cybercrime Investigations
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Author(s): Rituraj Jain (Marwadi University, India), Jaishri Gothania (Lingaya's Vidyapeeth, India), Priyank Dipakkumar Zaveri (B.H. Gardi College of Engineering and Technology, India), Monika Shah (B.H. Gardi College of Engineering and Technology, India), Parag Girdharbhai Paija (B.H. Gardi College of Engineering and Technology, India)and Yamini Parth Chawda (B.H. Gardi College of Engineering and Technology, India)
Copyright: 2026
Pages: 28
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.ch012
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Abstract
In memory execution, OS tools (for example, PowerShell, WMI), and registry manipulation are widely leveraged by fileless malware, which makes it very difficult to detect with the traditional forensic tools. This chapter studies memory forensics as a primary method to trace down attacks such as this one, concentrating on the volatile memory (RAM) analysis. They talk about attack types such as code injection, LOLBins and reflectively loaded DLLs, to name a few, and a few tools such as Cobalt Strike and Empire. Volatility, FTK Imager and YARA rules are leveraged to generate artifacts such as executable injected code, network sockets and command history. In the chapter, find out how we map the findings to the cyber kill chain, and what makes RAM analysis a must for detection, response, and proactive hunting.
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