Large Language Models for Email Forensics Futuristic Pattern Analysis and Approaches
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Jenny Stanford Series on Fuzzy Theory Frontiers, Volume 3
Large Language Models for Email Forensics
Futuristic Pattern Analysis and Approaches
Rajesh Kumar Dhanaraj | Malathy Sathyamoorthy | S. Poonkuntran | S. Aanjan Kumar | Monoj Kumar Muchahari
Large language models (LLMs) are advanced machine learning models designed to perform Natural Language Processing (NLP) tasks using deep learning on large-scale textual data. Recently, LLMs have gained attention in digital forensics for their ability to enhance investigation efficiency, improve evidence traceability, and support law enforcement activities. Email communication plays a vital role in personal and professional interactions, with a vast number of messages exchanged daily. This volume makes manual inspection time-consuming and increases vulnerability to cyber threats such as phishing, spam, and ransomware. Traditional email forensic methods, which rely on keyword-based searches and predefined rules, often struggle to detect complex and evolving attacks.
This book highlights the role of LLMs as an automated solution for email forensics. By analyzing contextual patterns, linguistic styles, sentiment, and user-specific characteristics, LLMs enable improved identification of legitimate users and detection of suspicious content. These capabilities extend beyond conventional methods, addressing gaps in manual forensic processes and supporting more efficient and intelligent investigation practices.
Rajesh Kumar Dhanaraj is a professor at Symbiosis Institute of Computer Studies and Research, Symbiosis International (Deemed University), India. He holds a PhD from Anna University and has published over 35 research articles. His interests include cyber-physical systems, wireless sensor networks, and cloud computing. He also serves as an expert advisory panel member for Texas Instruments Inc., USA.
Malathy Sathyamoorthy is an associate professor at KPR Institute of Engineering and Technology, India. She holds a PhD from Anna University and has published more than 20 research papers. Her interests include wireless networks, IoT, and machine learning.
S. Poonkuntran is a professor and dean at VIT Bhopal University, India. With over a decade of experience, he has led funded projects from ISRO, DRDO, and MNRE, published over 90 articles, and authored books and patents.
S. Aanjan Kumar holds a PhD in Botnet Security and has over 10 years of academic experience. His research focuses on software engineering, cyber forensics, and network security.
Monoj Kumar Muchahari has over 10 years of experience in academia and industry, with research interests in cloud computing, AI, and machine learning.
| Publication Date: | 08 December 2026 |
| Publisher: | Jenny Stanford Publishing |
| Imprint: | Jenny Stanford Publishing |
| ISBN-13: | 9789815352269 |
| Format: | Hardback |
| Page Count: | 396 |