Advancements in Cybercrime Investigation and Digital Forensics

Vast manpower and resources are needed to investigate cybercrimes. The use of new advanced technologies, such as machine learning combined with automation, are effective in providing significant additional support in prevention of cyber-attacks, in the speedy recovery of data, and in reducing human error. This new volume offers a comprehensive study of the advances that have been made in cybercrime investigations and digital forensics, highlighting the most up-to-date tools that help to mitigate cyber-attacks and to extract digital evidence for forensic investigations to recover lost, purposefully deleted, or damaged files. The chapters look at technological cybersecurity tools such as artificial intelligence, machine learning, data mining, and others for mitigation and investigation. Cover 1 Half Title 2 Title 4 Copyright 5 About the Editors 6 Contents 10 Contributors 12 Abbreviations 16 Acknowledgment 20 Preface 22 1. Challenges to Cybercrime Reporting, Investigation, and Adjudication in India 26 2. A Comprehensive Review on Digital Forensics Intelligence 50 3. Specific Security Mechanisms for Information Protection and Transmission Over Open Networks 74 4. Wearable Devices Forensic Investigation 96 5. Combating Cybercrimes with Digital Forensics 122 6. Clustering and Classification of Digital Forensic Data Using Machine Learning and Data Mining Approaches 140 7. Digital Forensic Investigation: Ontology, Methodology, and Technological Advancement 162 8. Data Breach Fraudulence and Preventive Measures in E-Commerce Platforms 186 9. An Approach to Data Recovery from Solid State Drive: Cyber Forensics 210 10. A Critical Analysis of the Dark Side of the Dark Web 230 11. Tools and Protocols for the Analysis of Mobile Phones in Digital Forensics 254 12. Analysis of Tree-Based Machine Learning Techniques for Credit Card Fraud Detection 272 13. Black Hats: A Major Threat to Your Finances 290 14. Enhanced Security Based on Face Detection in Payment Gateway 306 15. Artificial Intelligence Applied to Computer Forensics 326 16. Open Standard Authorization Protocol: OAuth 2.0 Defenses and Working Using Digital Signatures 344 17. Child Pornography: The Filth of Society 370 18. Digital Forensics and Cybersecurity Tools 392 Index 408 Coding,Theory;,Cryptography Coding Theory,Cryptography "This new volume offers a comprehensive study on Advancements in Cybercrime Investigation and Digital Forensics, highlighting the most up-to-date tools that help to mitigate cyber-attacks and that extract digital evidence for forensic investigations to recover lost, purposefully deleted, or damaged files. Vast manpower and resources are needed to investigate cybercrimes; the use of new advanced technologies such as machine learning combined with automation are effective in providing significant additional support in prevention of cyber-attacks, in the speedy recovery of data, and in reducing human error. The volume discusses the challenges to cybercrime reporting, investigation, and adjudication and offers a comprehensive review of digital forensics intelligence, focusing on combating cybercrimes with digital forensics. The chapters look at technological cybersecurity tools such as artificial intelligence, machine learning, data mining, and others for mitigation and investigation. Providing new research in machine learning-based digital forensic investigation, identifying the gaps, and addressing the challenges and open issues in this field, this volume will be a valuable resource for cybercrime professionals, law enforcement agencies, legal and forensic professionals, and for faculty and studies in digital forensics."-- Provided by publisher