Advancements in Cybercrime Investigation and Digital Forensics -

Advancements in Cybercrime Investigation and Digital Forensics

Buch | Hardcover
404 Seiten
2023
Apple Academic Press Inc. (Verlag)
978-1-77491-303-1 (ISBN)
179,95 inkl. MwSt
Presents advancements in cybercrime investigation and digital forensics, highlighting new tools to mitigate cyber-attacks and that extract digital evidence for forensic investigation to recover lost, purposefully deleted, or damaged files. Discusses tools such as AI, machine learning, data mining, and others for mitigation and investigation.
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.

A. Harisha is Assistant Professor in the Department of Computer Science and Engineering at Sahyadry College of Engineering and Management, India. He has eight years of experience in teaching, learning, and research. He has published research papers and attended international conferences where he has presented his research. He is also a web developer and an application development team member for Techno Medicare, a medicine management application available at Play Store. He is a co-principal investigator of projects for the Centre of Excellence in Digital Forensics and Intelligence (Department of Electronics, Information Technology, Biotechnology and Science & Technology, Government of Karnataka) and for CySecK, Karnataka. He also holds several patents. Amarnath Mishra, PhD, is a Professor (Forensic Science) and Director at the Lloyd Institute of Forensic Science, Greater Noida, Uttar Pradesh (affiliated to the National Forensic Sciences University), India. Prior to this, he worked as an Associate Professor of Forensic Science at several other institutes in India and the United Arab Emirates. He has over 15 years of experience in research, academics, administration, forensic practice, and casework. He has more than 100 publications and has attended over 100 national and international events. He has been granted four national and international patents. Prof. Mishra is also a Freelance Forensic Expert and Medico-legal Consultant for the Court of Law in India. He has also contributed his knowledge and experience on TV and radio programs. Chandra Singh is an Assistant Professor at Sahyadri College of Engineering and Management, Karnataka, India. He has co-authored a textbook and has published more than 15 journal articles. He has received two best paper awards and twice received a Hackerank Topper for Python & Advanced CPP. He served as the Indian Institute of Remote Sensing (IIRS) Coordinator for the Department of Electronics and Communication and has served as a technical program committee member for several conferences.

1. Challenges to Cybercrime Reporting, Investigation, and Adjudication in India 2. A Comprehensive Review on Digital Forensics Intelligence 3. Specific Security Mechanisms for Information Protection and Transmission Over Open Networks 4. Wearable Devices and Forensic Investigation 5. Combating Cybercrimes with Digital Forensics 6. Clustering and Classification of Digital Forensic Data Using Machine Learning and Data Mining Approaches 7. Digital Forensic Investigation: Ontology, Methodology, and Technological Advancement 8. Data Breach Fraudulence and Preventive Measures in E-Commerce Platforms 9. An Approach to Data Recovery from Solid State Drive: Cyber Forensics 10. A Critical Analysis of the Dark Side of the Dark Web 11. Tools and Protocols for the Analysis of Mobile Phones in Digital Forensics 12. Analysis of Tree-Based Machine Learning Techniques for Credit Card Fraud Detection 13. Black Hats: A Major Threat to Your Finances 14. Enhanced Security Based on Face Detection in Payment Gateway 15. Artificial Intelligence Applied to Computer Forensics 16. Open Standard Authorization Protocol: OAuth 2.0 Defenses and Working Using Digital Signatures 17. Child Pornography: The Filth of Society 18. Digital Forensics and Cybersecurity Tools

Erscheinungsdatum
Zusatzinfo 22 Tables, black and white; 16 Illustrations, color; 74 Illustrations, black and white
Verlagsort Oakville
Sprache englisch
Maße 156 x 234 mm
Gewicht 1280 g
Themenwelt Schulbuch / Wörterbuch
Mathematik / Informatik Informatik Theorie / Studium
Naturwissenschaften Biologie
ISBN-10 1-77491-303-8 / 1774913038
ISBN-13 978-1-77491-303-1 / 9781774913031
Zustand Neuware
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