rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Artificial Intelligence and Blockchain in Digital Forensics
  name:
    name part: Kārttikēyan̲, Pa.
  name:
    name part: Pande, Hari Mohan.
  name:
    name part: Sarveshwaran, Velliangiri.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xx
    place:
      place term: Milton
    publisher: River Publishers
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (297 p.).
  abstract: Over the past two decades, improvements in the information technology landscape have made the collection, preservation, and analysis of digital evidence extremely important. This book can provide a wide-ranging overview of how AI and blockchain can be used to solve problems in digital forensics using advanced tools and applications.
  table of contents: Cover -- Half Title -- Untitled -- Series -- Title -- Copyright -- Table of Contents -- Preface -- Acknowledgment -- List of Contributors -- List of Figures -- List of Tables -- List of Abbreviations -- 1 Digital Forensics Meets AI: A Game-changer for the 4th Industrial Revolution -- 1.1 Introduction -- 1.2 Digital Forensics -- 1.2.1 Growing need for digital forensics -- 1.2.2 Process of digital forensics -- 1.2.3 Advantages offered and limitations confronted by digital forensics -- 1.3 AI and Digital Forensics -- 1.3.1 Contribution of AI in the realm of digital forensics
  table of contents: 1.3.1.1 Knowledge representation -- 1.3.1.2 Reasoning process -- 1.3.1.3 Pattern recognition -- 1.3.1.4 Knowledge discovery -- 1.3.1.5 Adaptation -- 1.3.2 Different variants of AI-based digital forensics -- 1.3.3 AI techniques used by digital forensics investigators -- 1.3.4 Deep learning tools and techniques helping in the domain of digital forensics -- 1.4 Latest AI Trends Impacting Digital Forensics -- 1.4.1 AI has taken a leap from novelty to necessity -- 1.4.2 Data-driven AI can generate valuable content -- 1.4.3 Smaller datasets are as amenable as big data
  table of contents: 1.4.4 Edge analytics: An upcoming AI trend -- 1.4.5 Citizen data scientists: The next big thing under AI -- 1.4.6 AI has an ethical and responsible role in society -- 1.5 Challenges and the Road Ahead -- 1.5.1 Key challenges to be addressed -- 1.5.1.1 Heterogeneity, resulting in lack of standardization -- 1.5.1.2 AI can be a double-edged sword -- 1.5.1.3 Privacy-preserving and legitimacy outcry -- 1.5.2 Road to the future -- 1.6 Conclusion -- References -- 2 Mitigating and Controlling Virtual Addiction Through Web Forensics and Deep Learning -- 2.1 Introduction
  table of contents: 2.2 Internet Addiction (IA) Types -- 2.2.1 Cyberbullying addiction -- 2.2.2 Web obligations -- 2.2.3 Addiction to cyberspace relationships -- 2.2.4 Anxious searching for content -- 2.2.5 Gaming addiction -- 2.2.6 Smartphone mobile app addiction -- 2.3 Human Behavior Analysis -- 2.4 Deep Learning's Relevance to HumanBehavior Prediction -- 2.5 Forms of online mining -- 2.5.1 HTML page information extraction -- 2.5.2 Commonly associated metadata extraction -- 2.5.3 Customized web usage monitoring -- 2.6 Web Usage Mining Process -- 2.7 RNN-based Analysis of Web History Log Data
  table of contents: 2.8 Feed-forward Networks Versus RNNs -- 2.9 RNN Relying on LSTM -- 2.10 Various Categories of Forensics -- 2.10.1 Digital forensics -- 2.10.2 Forensics over networking -- 2.10.3 Web forensics -- 2.10.4 Cloud forensics -- 2.10.5 Mobile forensics -- 2.10.6 Web browser forensics -- 2.11 Web Browser Artifacts -- 2.11.1 Navigation history -- 2.11.2 Autocomplete data -- 2.11.3 Cache -- 2.11.4 Favicons -- 2.11.5 Browser session storage -- 2.11.6 Form data -- 2.12 Analysis of Website Usage History -- 2.13 Conclusion -- 2.14 Acknowledgement -- References
  note: Description based upon print version of record.
  note: 3 Automatic Identification of Cyber Predators Using Text Analytics and Machine Learning
  note: Dr P. Karthikeyan obtained the Bachelor of Engineering (B.E.) in Computer Science and Engineering from Anna University, Chennai, and Tamil Nadu, India, in 2005 and received his Master of Engineering (M.E) in Computer Science and Engineering from Anna University, Coimbatore India in 2009. He completed his PhD degree at Anna University, Chennai, in 2018. He is currently working as post-doctoral researcher in national Chung Cheng University, Taiwan. He was skilled in developing projects and carrying out research in the area of Cloud computing and Data Science with programming skills in Java, Python, R and C. He published more than 20 International journals with a good impact factor and presented more than 10 International conferences. He was the reviewer of Elsevier, Springer, Inderscience and reputed Scopus indexed journals. He is an editorial board member in EAI Endorsed Transactions on Energy Web, The International Arab Journal of Information Technology and Blue Eyes Intelligence Engineering and Sciences Publication journal. Dr Hari Mohan Pandey received the B.Tech. Degree from Uttar Pradesh Technical University, India, the M.Tech. Degree from the Narsee Monjee Institute of Management Studies, India, and a PhD degree in computer science and engineering from the Amity University, India. He worked as a Postdoctoral Research Fellow at Middlesex University, London, U.K. He also worked on a European Commission project - Dream4car under H2020. He is a Research associate professor at Bournemouth University, U.K. He is specialized in computer science and engineering, and his research area includes artificial intelligence, soft computing, natural language process, language acquisition, machine learning and deep learning. He is the author of various books in computer science and engineering, published over 50 scientific papers in reputed journals and conferences. He has delivered keynotes, invited lectures and served as session chair for international conferences. He has serv…
  subject:
    topic: Digital forensic science
  subject:
    topic: Artificial intelligence
  subject:
    topic: Blockchains (Databases)
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Chaînes de blocs
  subject:
    topic: artificial intelligence
  subject:
    topic: COMPUTERS / Programming / Systems Analysis & Design
  subject:
    topic: LAW / Forensic Science
  subject:
    topic: SCIENCE / Energy
  subject:
    topic: Artificial intelligence
  subject:
    topic: Blockchains (Databases)
  subject:
    topic: Digital forensic science
  classification: HV8078.7
  classification: 363.250285
  related item:
    title info:
      title: Artificial Intelligence and Blockchain in Digital Forensics
    name:
      name part: Karthikeyan, P.
    origin info:
      publisher: Milton : River Publishers,c2023
  related item:
    title info:
      title: River Publishers Series in Digital Security and Forensics
  identifier: 9781000848083
  identifier: 1000848086
  identifier: 9781003374671
  identifier: 1003374670
  identifier: 100084806X
  identifier: 9781000848069
  identifier: 8770226881
  identifier: 9788770226882
  identifier: 9781003374671 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: EBLCP
    record creation date: 221210
    record change date: 20241108165827.9
    record identifier: in00005523926
    language of cataloging:
      language term: eng