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Book Cover
Lang Matl
Author Moustafa, Nour, author

Title Digital forensics in the era of artificial intelligence / Nour Moustafa

Publication Info. Boca Raton,FL: CRC Press, 2023

Copies

Location Call No. Status
 CCQ - Lusail Female Library  HV8078.7.M68 2023    Available
Edition First edition
Description 236 pages: illustrations; 25 cm
text txt rdacontent
still image sti rdacontent
unmediated n rdamedia
volume nc rdacarrier
Bibliography Includes bibliographical references and index
Contents Preface. Dedication and Acknowledgment. Author. Acronyms. 1. An Overview of Digital Forensics. 2. An Introduction to Machine Learning and Deep Learning for Digital Forensics. 3. Digital Forensics and Computer Foundations. 4. Fundamentals of Hard Disk Analysis. 5. Advanced Hard Disk Analysis. 6. File System Analysis (Windows). 7. Digital Forensics Requirements and Tools. 8. File Allocation Table (FAT) File System. 9. NTFS File System. 10. FAT and NTFS Recovery. 11. Basic Linux for Forensics. 12. Advanced Linux Forensics. 13. Network Forensics. 14. Machine Learning Trends for Digital Forensics. Index
Summary Digital forensics plays a crucial role in identifying, analysing, and presenting cyber threats as evidence in a court of law. Artificial intelligence, particularly machine learning and deep learning, enables automation of the digital investigation process. This book provides an in-depth look at the fundamental and advanced methods in digital forensics. It also discusses how machine learning and deep learning algorithms can be used to detect and investigate cybercrimes. This book demonstrates digital forensics and cyber-investigating techniques with real-world applications. It examines hard disk analytics and style architectures, including Master Boot Record and GUID Partition Table as part of the investigative process. It also covers cyberattack analysis in Windows, Linux, and network systems using virtual machines in real-world scenarios. Digital Forensics in the Era of Artificial Intelligence will be helpful for those interested in digital forensics and using machine learning techniques in the investigation of cyberattacks and the detection of evidence in cybercrimes
Subject Digital forensic science
Computer crimes -- Investigation -- Data processing
Artificial intelligence
ISBN 9781032244686