The Locator -- [(subject = "Computer crimes")]

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02980aam a2200361 i 4500
001 79F9FB24DDAE11EDB031D5162DECA4DB
003 SILO
005 20230418010100
008 220511s2023    flua     b    001 0 eng d
020    $a 1032244682
020    $a 9781032244686
020    $a 1032244933
020    $a 9781032244938
035    $a (OCoLC)1328028517
040    $a UKMGB $b eng $e rda $c UKMGB $d BDX $d OCLCF $d YT1 $d YDX $d SILO
050  4 $a HV8078.7 $b .M68 2023
100 1  $a Moustafa, Nour, $e author.
245 10 $a Digital forensics in the era of artificial intelligence / $c Nour Moustafa.
250    $a First edition.
264  1 $a Boca Raton, FL : $b CRC Press, $c 2023.
300    $a xix, 236 pages : $b illustrations ; $c 25 cm
504    $a Includes bibliographical references and index.
505 0  $a 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.
520    $a 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.
650  0 $a Digital forensic science.
650  0 $a Computer crimes $x Data processing. $x Data processing.
650  0 $a Artificial intelligence.
650  7 $a Artificial intelligence. $2 fast $0 (OCoLC)fst00817247
650  7 $a Digital forensic science. $2 fast $0 (OCoLC)fst02000600
776 08 $i ebook version : $z 9781000598537
941    $a 1
952    $l OVUX522 $d 20230418012726.0
956    $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=79F9FB24DDAE11EDB031D5162DECA4DB

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