國立虎尾科技大學 |

Confluence of AI, machine, and deep learning in cyber forensics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Confluence of AI, machine, and deep learning in cyber forensics/ Sanjay Misra, Chamundeswari Arumugam, Suresh Jaganathan, and Shunmuganathan Saraswathi.
remainder title:	Confluence of artificial intelligence, machine, and deep learning in cyber forensics
other author:	Misra, Sanjay.
Published:	Hershey, Pennsylvania :IGI Global, : 2021.,
Description:	1 online resource (xix, 248 p.)
Subject:	Computer crimes - Investigation. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4900-1
ISBN:	9781799849018 (ebk.)

Confluence of AI, machine, and deep learning in cyber forensics
Confluence of AI, machine, and deep learning in cyber forensics[electronic resource] /Confluence of artificial intelligence, machine, and deep learning in cyber forensics Sanjay Misra, Chamundeswari Arumugam, Suresh Jaganathan, and Shunmuganathan Saraswathi. - Hershey, Pennsylvania :IGI Global,2021. - 1 online resource (xix, 248 p.)

Includes bibliographical references and index.

Chapter 1. A comprehensive perspective on mobile forensics: process, tools, and future trends -- Chapter 2. Applications of machine learning in cyber forensics -- Chapter 3. Machine learning forensics: a new branch of digital forensics -- Chapter 4. Crucial role of data analytics in the prevention and detection of cyber security attacks -- Chapter 5. Deep learning approaches to overcome challenges in forensics -- Chapter 6. Deep learning-based malware detection and classification -- Chapter 7. Detecting fake news using deep learning and NLP -- Chapter 8. Impediments in mobile forensics -- Chapter 9. Use-case of blockchain in cybercrime and cyberattack -- Chapter 10. Motivational quotes-based intelligent insider threat prediction model -- Chapter 11. Challenges of developing AI applications in the evolving digital world and recommendations to mitigate such challenges: a conceptual view -- Chapter 12. Challenges in developing software in today's scenario: an analysis at developmental stage level.

"The book provides original research about cyber forensics and its relationship to Artificial Intelligence (AI) and presents the results of research and case studies that advance the practice and understanding of cyber forensics methods and techniques to support efficient and effective investigations. It covers a variety of topics, including forensic analysis, cloud forensics, forensics storage, mobile device forensics, forensic reporting, forensics tools, and more"--

ISBN: 9781799849018 (ebk.)Subjects--Topical Terms:

563858
Computer crimes
--Investigation.

LC Class. No.: HV8079.C65 / C66 2021

Dewey Class. No.: 363.250285/63

Confluence of AI, machine, and deep learning in cyber forensics
LDR:02567nam a2200277 a 4500 001 1041426
003 IGIG
005 20211027094137.0
006 m o d
007 cr cn
008 211215s2021 pau fob 001 0 eng d
020 $a 9781799849018 (ebk.)
020 $a 9781799849001 (hbk.)
020 $a 9781799858386 (pbk.)
035 $a (OCoLC)1224335969
035 $a 1101012297
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 0 0 $a HV8079.C65 $b C66 2021
082 0 0 $a 363.250285/63 $2 23
245 0 0 $a Confluence of AI, machine, and deep learning in cyber forensics $h [electronic resource] / $c Sanjay Misra, Chamundeswari Arumugam, Suresh Jaganathan, and Shunmuganathan Saraswathi.
246 3 $a Confluence of artificial intelligence, machine, and deep learning in cyber forensics
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2021.
300 $a 1 online resource (xix, 248 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. A comprehensive perspective on mobile forensics: process, tools, and future trends -- Chapter 2. Applications of machine learning in cyber forensics -- Chapter 3. Machine learning forensics: a new branch of digital forensics -- Chapter 4. Crucial role of data analytics in the prevention and detection of cyber security attacks -- Chapter 5. Deep learning approaches to overcome challenges in forensics -- Chapter 6. Deep learning-based malware detection and classification -- Chapter 7. Detecting fake news using deep learning and NLP -- Chapter 8. Impediments in mobile forensics -- Chapter 9. Use-case of blockchain in cybercrime and cyberattack -- Chapter 10. Motivational quotes-based intelligent insider threat prediction model -- Chapter 11. Challenges of developing AI applications in the evolving digital world and recommendations to mitigate such challenges: a conceptual view -- Chapter 12. Challenges in developing software in today's scenario: an analysis at developmental stage level.
520 3 $a "The book provides original research about cyber forensics and its relationship to Artificial Intelligence (AI) and presents the results of research and case studies that advance the practice and understanding of cyber forensics methods and techniques to support efficient and effective investigations. It covers a variety of topics, including forensic analysis, cloud forensics, forensics storage, mobile device forensics, forensic reporting, forensics tools, and more"-- $c Provided by publisher.
650 0 $a Computer crimes $x Investigation. $3 563858
650 0 $a Artificial intelligence. $3 559380
700 1 $a Misra, Sanjay. $3 1210240
700 1 $a Arumugam, Chamundeswari, $d 1971- $3 1340932
700 1 $a Jaganathan, Suresh, $d 1972- $3 1340933
700 1 $a Saraswathi, Shunmuganathan, $d 1977- $3 1340934
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4900-1