KI-Beratung Beta

Produktbild: Large Language Models for Email Forensics
Vorbesteller Neu

Large Language Models for Email Forensics Futuristic Pattern Analysis and Approaches

218,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

08.12.2026

Herausgeber

Malathy Sathyamoorthy + weitere

Verlag

Jenny Stanford Publishing

Seitenzahl

396

Maße (L/B)

22,9/15,2 cm

Sprache

Englisch

ISBN

978-981-5352-26-9

Beschreibung

Portrait

Rajesh Kumar Dhanaraj is a professor at Symbiosis Institute of Computer Studies and Research, Symbiosis International (Deemed University), India. He holds a PhD in information and communication engineering from Anna University, India. He has published more than 35 articles in various journals and conference proceedings and book chapters. His research interests include cyber-physical systems, wireless sensor networks, and cloud computing. He is an expert advisory panel member of Texas Instruments Inc., USA.

Malathy Sathyamoorthy is an associate professor in the Department of Information Technology, KPR Institute of Engineering and Technology, India. She holds a PhD in information and communication engineering from Anna University. She completed her BE and ME in computer science and engineering from Velalar College of Engineering and Technology, India. Her research interests include wireless networks, Internet of Things, and machine learning. She has published more than 20 research papers in international journals and conferences.

S. Poonkuntran holds a BE in information technology from Bharathidasan University, India, and MTech and PhD degrees in computer and information technology from Manonmaniam Sundaranar University, India. Currently he is professor at VIT Bhopal University, India, and dean of the School of Computing Science and Engineering. Dr Poonkuntran has more than a decade of experience in teaching and research and successfully executed three funded research grant projects from the Indian Space Research Organization, Defense Research Development Organization, and Ministry of New and Renewable Energy, Government of India. He has also received two seminar grants from Anna University and the All-India Council for Technical Education-Indian Society for Technical Education. He has published more than 90 technical articles, 8 books, 2 chapters, and 5 patents. He is a recipient of Cognizant Best Faculty Award 2017-18 and served as a State Level Student Coordinator for Region VII, CSI, India in 2016-17. He is a lifetime member of IACSIT, Singapore, CSI, India, and ISTE, India. His research interests include information security, computer vision, artificial intelligence, and machine learning.

S. Aanjan Kumar holds a doctorate in botnet security and an ME in software engineering, both from Anna University. He has academic experience spanning a decade and has worked at various levels up to associate professor, UG-HoD. He has authored 17 publications in peer-reviewed international and national journals with high impact factors and 11 publications in various international conferences held in India and abroad. Dr Aanjankumar has authored the books Graph Theory and Applications, which is included in Anna University's syllabus, and Botnet Evolution, which has been adopted by Amity University for web security reference. He is also a reviewer for SCI journals and has 2 SCI journal publications with an impact factor above 3, 7 Scopus-indexed publications, 1 book chapter, and 1 Indian patent and 1 UK design patent that he has authored and published. His main areas of research include software engineering, cyber forensics, network security, and human-computer interaction.

Monoj Kumar Muchahari has over 10 years of experience in both teaching and industry. His research interests include cloud computing, trust management, AI, and machine learning. He has authored several journal articles, conference papers, and book chapters in these areas. He has also served as a reviewer for many reputable journals. Dr Muchahari He has organized various webinars and training programs on emerging technologies. He also has been invited for talks and to chair conference sessions.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

08.12.2026

Herausgeber

Verlag

Jenny Stanford Publishing

Seitenzahl

396

Maße (L/B)

22,9/15,2 cm

Sprache

Englisch

ISBN

978-981-5352-26-9

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Large Language Models for Email Forensics
  • 1. Introduction to Large Language Model: Fundamentals, Issues and Challenges 2. Introduction to Large Language Models and Their Integration into Digital Forensic in Email Forensics 3. Design of multimodal Large Language Models with transfer learning and computer vision architectural perspective 4. Role of Explainable Large Language Models in Email Forensics: From Decision-Making Perspective 5. Security and privacy concerns of automated e-mail investigation based on LLMs and keyword searching techniques 6. Combining NLP with LLMs to Assess Potential Threats and Email Protection 7. Exploring Open-Source Technologies for E-mail Forensics: A Comprehensive Guide for User Activity and E-mail Traffic Analysis 8. Explainable LLMs for E-mail Forensics: A Catalyst for Trust in E-mail Forensic Analysis 9. Transformative potential and challenges of large language models in email forensics: applications, security, and future directions 10. Role of keyword searching in Large Language Models: Past, Present and Future 11. Text-to-Text Transfer Transformer Email Forensics: A Case Study on MGM Resort Cyber Attack 12. Introduction to Email Forgery: Understanding the Basics and Significance 13. Large Language Model in Email Fraud under the Insurance Sector 14. Case Study: LLM Integration in an E-Commerce Company 15. Design of Multimodal LLMs with Transfer Learning and Computer Vision: An Architectural Perspective 16. Role of Explainable Large Language Models in Email Forensics-From a Decision-Making Perspective