Editors: Akashdeep Bhardwaj, Keshav Kaushik

Cyber Forensics and Investigation on Smart Devices

Volume 1

eBook: US $39 Special Offer (PDF + Printed Copy): US $72
Printed Copy: US $52
Library License: US $156
ISBN: 978-981-5179-58-3 (Print)
ISBN: 978-981-5179-57-6 (Online)
Year of Publication: 2024
DOI: 10.2174/97898151795761240101

Introduction

This book offers comprehensive insights into digital forensics, guiding readers through analysis methods and security assessments. Expert contributors cover a range of forensic investigations on computer devices, making it an essential resource for professionals, scholars, and students alike.

Chapter 1 explores smart home forensics, detailing IoT forensic analysis and examination of different smart home devices. Chapter 2 provides an extensive guide to digital forensics, covering its origin, objectives, tools, challenges, and legal considerations. Chapter 3 focuses on cyber forensics, including secure chat application values and experimentation. Chapter 4 delves into browser analysis and exploitation techniques, while Chapter 5 discusses data recovery from water-damaged Android phones with methods and case studies. Finally, Chapter 6 presents a machine learning approach for detecting ransomware threats in healthcare systems.

With a reader-friendly format and practical case studies, this book equips readers with essential knowledge for cybersecurity services and operations.

Key Features:
  • - Integrates research from various fields (IoT, Big Data, AI, and Blockchain) to explain smart device security.
  • - Uncovers innovative features of cyber forensics and smart devices.
  • - Harmonizes theoretical and practical aspects of cybersecurity.
  • - Includes chapter summaries and key concepts for easy revision.
  • - Offers references for further study.
Readership:

Professionals, apprentices, teachers, and scholars in cyber security and digital forensics programs.

Contributors

Editor(s):
Akashdeep Bhardwaj
Cybersecurity & Digital Forensics
University of Petroleum and Energy Studies
UPES, Dehradun
India


Keshav Kaushik
School of Computer Science
University of Petroleum and Energy Studies
Dehradun
India




Contributor(s):
Ankit Vishnoi
School of Computer Science and Engineering,
Manipal University,
Jaipur
India


Abhishek K. Pradhan
School of Computer Science,
University of Petroleum and Energy Studies,
Dehradun, Uttarakhand
India


Devakrishna C. Nair
School of Computer Science,
University of Petroleum and Energy Studies,
Dehradun, Uttarakhand
India


Hitesh Kumar Sharma
School of Computer Science,
University of Petroleum and Energy Studies (UPES),
Dehradun, 248007
India


Hemanta Kumar Bhuyan
Department of Information Technology, Vignan's Foundation for Science,
Technology & Research (Deemed to be University),
Guntur, Andhra Pradesh
India


Hepi Suthar
Rashtriya Raksha University,
Gandhinagar
India
/
Vishwakarma University,
Pune
India


Luxmi Sapra
School of Computing,
Graphic Era Hill University,
Dehradun
India


Lokaiah Pullagura
Department of Computer Science & Engineering,
Faculty of Engineering & Technology,
Jain Global Campus, Jain University,
Kanakapura-562112, Ramanagara District, Karnataka
India


Manoj Kumar
School of Computer Science,
University of Petroleum and Energy Studies (UPES),
Dehradun, 248007
India


Nalli Vinaya Kumari
Department of Computer Science & Engineering,
Malla Reddy Institute of Technology and Science,
Hyderabad
India


Preeti
School of Computer Science,
University of Petroleum and Energy Studies (UPES),
Dehradun, 248007
India


Prabhu Manikandan V
School of Computer Science,
University of Petroleum and Energy Studies,
Dehradun, Uttarakhand
India


Tripti Misra
School of Computer Science,
University of Petroleum and Energy Studies,
Dehradun, Uttarakhand
India


Varun Sapra
School of Computer Science,
University of Petroleum and Energy Studies Gurugram
India