Editors: Alex Khang, Sanchit Dhankhar, Sandeep Bhardwaj, Avnesh Verma, Satish Kumar Sharma

Data Recovery Techniques for Computer Forensics

eBook: US $79 Special Offer (PDF + Printed Copy): US $143
Printed Copy: US $103
Library License: US $316
ISBN: 978-981-5274-68-4 (Print)
ISBN: 978-981-5274-67-7 (Online)
Year of Publication: 2025
DOI: 10.2174/97898152746771250101

Introduction

Data Recovery Techniques for Computer Forensics is a practical and comprehensive reference designed for professionals, students, and researchers in digital forensics, data recovery, and information security. This handbook provides clear, structured guidance on essential principles and practical techniques for recovering lost or compromised digital data in forensic investigations.

The book begins with the fundamentals of data recovery and examines the major causes of data loss, including software errors and hardware failures. It then explores contemporary data protection technologies and delves into the structure and organization of hard disks, laying a solid foundation for understanding data storage systems.

Specialized chapters cover the recovery and management of various file systems, including FAT16, FAT32, and NTFS, along with methods for partition recovery and an introduction to dynamic disk management. The final section introduces essential data security software used to protect and recover digital information.

Key Features:

  • - Covers basic and applied data recovery concepts for forensic applications
  • - Explains causes of data loss and modern data protection technologies.
  • - Detailed chapters on hard disk structure, data organization, and partition recovery.
  • - Practical guidance on managing and recovering FAT16, FAT32, and NTFS file systems.
  • - Introduces dynamic disk configurations and essential data security tools.

Readership

Forensic analysts, IT professionals, forensics trainees, students, and researchers

Preface

This technical book will provoke a lot of debate as it covers an interesting topic. We feel compelled to share our knowledge, analyses, and conclusions after working for numerous years in the field of pharmacy. We have written many papers and book chapters on various facets. Perhaps this description will increase knowledge of the issue and initiate a discussion that could result in significant ideological transformations. There are two reading categories for this book. First off, it can be read by regular individuals with little to no prior knowledge of science. Professionals from academia and government organizations will be represented by the second set of readers. It is hard to believe that all members of the scientific community will comply with the concepts and ideas presented in this work. But we do hope that the knowledge and information provided will serve as a guide for all the sections of society. In this introductory volume, we embark on a journey into the realm of data recovery, a critical aspect of any forensic investigation. In the digital age, evidence often resides not on physical documents, but within the intricate labyrinth of storage devices. The deleted files, hidden partitions, and encrypted data – these are the challenges computer forensics professionals face, tasked with recovering the hidden pieces of the digital puzzle. There are eleven chapters in the book. The introduction to elementary knowledge of data recovery is introduced in chapter 1 of this book. The reasons for data loss are discussed in Chapter 2, which also provides a detailed knowledge of hardware and software reasons for data loss. The data protecting technologies, elementary knowledge of hard disk, hard disk organization, common cases of partition recovery, FAT16 file system check, management of FAT32 file system, management of NTFS file system, and dynamic disk introduction were introduced in chapters 3 to 10 respectively, along with introduction of data security software in chapter 11. We wish a lot of people read this book. In order to escape the mistakes of the past, we must alter course and begin utilising knowledge built up by scientists.

Happy reading!

Alex Khang
AFaculty of AI and Data Science
Global Research Institute of Technology and Engineering
Raleigh, North Carolina
USA

Sanchit Dhankhar
Chitkara College of Pharmacy
Chitkara University, Rajpura-140401, Punjab
India

Sandeep Bhardwaj
DRP Education Centre, Chennai
Tamil Nadu 600021, India

Avnesh Verma
Department of Instrumentation
Engg Kurukshetra University
Kurukshetra, India

&

Satish Kumar Sharma
Glocal School of Pharmacy, Glocal University
Mirzapur Pole, Uttar Pradesh 247121, India