Confluence of AI, Machine, and Deep Learning in Cyber Forensics
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| Title: | Confluence of AI, Machine, and Deep Learning in Cyber Forensics |
|---|---|
| Description: | Developing a knowledge model helps to formalize the difficult task of analyzing crime incidents in addition to preserving and presenting the digital evidence for legal processing. The use of data analytics techniques to collect evidence assists forensic investigators in following the standard set of forensic procedures, techniques, and methods used for evidence collection and extraction. Varieties of data sources and information can be uniquely identified, physically isolated from the crime scene, protected, stored, and transmitted for investigation using AI techniques. With such large volumes of forensic data being processed, different deep learning techniques may be employed. Confluence of AI, Machine, and Deep Learning in Cyber Forensics contains cutting-edge research on the latest AI techniques being used to design and build solutions that address prevailing issues in cyber forensics and that will support efficient and effective investigations. This book seeks to understand the value of the deep learning algorithm to handle evidence data as well as the usage of neural networks to analyze investigation data. Other themes that are explored include machine learning algorithms that allow machines to interact with the evidence, deep learning algorithms that can handle evidence acquisition and preservation, and techniques in both fields that allow for the analysis of huge amounts of data collected during a forensic investigation. This book is ideally intended for forensics experts, forensic investigators, cyber forensic practitioners, researchers, academicians, and students interested in cyber forensics, computer science and engineering, information technology, and electronics and communication. |
| Authors: | Sanjay Misra, Chamundeswari Arumugam, Suresh Jaganathan, Saraswathi S. |
| Resource Type: | eBook. |
| Subjects: | Computer crimes--Investigation, Artificial intelligence |
| Categories: | LAW / Forensic Science, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Machine Learning |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Confluence of AI, Machine, and Deep Learning in Cyber Forensics – Name: Abstract Label: Description Group: Ab Data: Developing a knowledge model helps to formalize the difficult task of analyzing crime incidents in addition to preserving and presenting the digital evidence for legal processing. The use of data analytics techniques to collect evidence assists forensic investigators in following the standard set of forensic procedures, techniques, and methods used for evidence collection and extraction. Varieties of data sources and information can be uniquely identified, physically isolated from the crime scene, protected, stored, and transmitted for investigation using AI techniques. With such large volumes of forensic data being processed, different deep learning techniques may be employed. Confluence of AI, Machine, and Deep Learning in Cyber Forensics contains cutting-edge research on the latest AI techniques being used to design and build solutions that address prevailing issues in cyber forensics and that will support efficient and effective investigations. This book seeks to understand the value of the deep learning algorithm to handle evidence data as well as the usage of neural networks to analyze investigation data. Other themes that are explored include machine learning algorithms that allow machines to interact with the evidence, deep learning algorithms that can handle evidence acquisition and preservation, and techniques in both fields that allow for the analysis of huge amounts of data collected during a forensic investigation. This book is ideally intended for forensics experts, forensic investigators, cyber forensic practitioners, researchers, academicians, and students interested in cyber forensics, computer science and engineering, information technology, and electronics and communication. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sanjay+Misra%22">Sanjay Misra</searchLink><br /><searchLink fieldCode="AR" term="%22Chamundeswari+Arumugam%22">Chamundeswari Arumugam</searchLink><br /><searchLink fieldCode="AR" term="%22Suresh+Jaganathan%22">Suresh Jaganathan</searchLink><br /><searchLink fieldCode="AR" term="%22Saraswathi+S%2E%22">Saraswathi S.</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+crimes--Investigation%22">Computer crimes--Investigation</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22LAW+%2F+Forensic+Science%22">LAW / Forensic Science</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Machine+Learning%22">COMPUTERS / Data Science / Machine Learning</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 363.25028563 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Computer crimes--Investigation Type: general – SubjectFull: Artificial intelligence Type: general Titles: – TitleFull: Confluence of AI, Machine, and Deep Learning in Cyber Forensics Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sanjay Misra – PersonEntity: Name: NameFull: Chamundeswari Arumugam – PersonEntity: Name: NameFull: Suresh Jaganathan – PersonEntity: Name: NameFull: Saraswathi S. – PersonEntity: Name: NameFull: Sanjay Misra – PersonEntity: Name: NameFull: Chamundeswari Arumugam – PersonEntity: Name: NameFull: Suresh Jaganathan – PersonEntity: Name: NameFull: Saraswathi S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 – D: 25 M: 11 Type: profile Y: 2020 Identifiers: – Type: isbn-print Value: 9781799849001 – Type: isbn-electronic Value: 9781799849018 – Type: isbn-electronic Value: 9781799849025 Titles: – TitleFull: Confluence of AI, Machine, and Deep Learning in Cyber Forensics Type: main |
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