Confluence of AI, machine, and deep learning in cyber forensics:
"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 investig...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2021]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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"-- |
| Beschreibung: | 20 PDFs (248 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799849018 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Confluence of AI, machine, and deep learning in cyber forensics |c Sanjay Misra, Chamundeswari Arumugam, Suresh Jaganathan, and Shunmuganathan Saraswathi. |
| 246 | 3 | |a Confluence of artificial intelligence, machine, and deep learning in cyber forensics | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2021] | |
| 300 | |a 20 PDFs (248 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 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. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 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. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 11/28/2020). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computer crimes |x Investigation. | |
| 650 | 7 | |a Artificial intelligence. |2 fast | |
| 650 | 7 | |a Computer crimes |x Investigation. |2 fast | |
| 700 | 1 | |a Arumugam, Chamundeswari |d 1971- |e editor. | |
| 700 | 1 | |a Jaganathan, Suresh |d 1972- |e editor. | |
| 700 | 1 | |a Misra, Sanjay, |e editor. | |
| 700 | 1 | |a Saraswathi, Shunmuganathan |d 1977- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2020018678 | |
| 776 | 0 | 8 | |i Print version: |z 1799849007 |z 9781799849001 |w (DLC) 2020018678 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4900-1 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00244611 |
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| _version_ | 1804751461940199424 |
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| author2 | Arumugam, Chamundeswari 1971- Jaganathan, Suresh 1972- Misra, Sanjay Saraswathi, Shunmuganathan 1977- |
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| contents | 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. |
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| spelling | Confluence of AI, machine, and deep learning in cyber forensics Sanjay Misra, Chamundeswari Arumugam, Suresh Jaganathan, and Shunmuganathan Saraswathi. Confluence of artificial intelligence, machine, and deep learning in cyber forensics Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2021] 20 PDFs (248 pages) text rdacontent electronic isbdmedia online resource rdacarrier 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. Restricted to subscribers or individual electronic text purchasers. "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"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 11/28/2020). Artificial intelligence. Computer crimes Investigation. Artificial intelligence. fast Computer crimes Investigation. fast Arumugam, Chamundeswari 1971- editor. Jaganathan, Suresh 1972- editor. Misra, Sanjay, editor. Saraswathi, Shunmuganathan 1977- editor. IGI Global, publisher. (Original) (DLC)2020018678 Print version: 1799849007 9781799849001 (DLC) 2020018678 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4900-1 Volltext |
| spellingShingle | Confluence of AI, machine, and deep learning in cyber forensics 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. Artificial intelligence. Computer crimes Investigation. Artificial intelligence. fast Computer crimes Investigation. fast |
| title | Confluence of AI, machine, and deep learning in cyber forensics |
| title_alt | Confluence of artificial intelligence, machine, and deep learning in cyber forensics |
| title_auth | Confluence of AI, machine, and deep learning in cyber forensics |
| title_exact_search | Confluence of AI, machine, and deep learning in cyber forensics |
| title_full | Confluence of AI, machine, and deep learning in cyber forensics Sanjay Misra, Chamundeswari Arumugam, Suresh Jaganathan, and Shunmuganathan Saraswathi. |
| title_fullStr | Confluence of AI, machine, and deep learning in cyber forensics Sanjay Misra, Chamundeswari Arumugam, Suresh Jaganathan, and Shunmuganathan Saraswathi. |
| title_full_unstemmed | Confluence of AI, machine, and deep learning in cyber forensics Sanjay Misra, Chamundeswari Arumugam, Suresh Jaganathan, and Shunmuganathan Saraswathi. |
| title_short | Confluence of AI, machine, and deep learning in cyber forensics |
| title_sort | confluence of ai machine and deep learning in cyber forensics |
| topic | Artificial intelligence. Computer crimes Investigation. Artificial intelligence. fast Computer crimes Investigation. fast |
| topic_facet | Artificial intelligence. Computer crimes Investigation. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4900-1 |
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