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mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Security issues and privacy concerns in Industry 4.0 applications
  name:
    name part: David, Shiblin
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Anand, R. S.
    role:
      role term: author.
  name:
    name part: Jeyakrishnan, V.
    role:
      role term: author.
  name:
    name part: Niranjanamurthy, M.
    role:
      role term: author.
  type of resource: text
  origin info:
    place:
      place term: nju
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: SECURITY ISSUES AND PRIVACY CONCERNS IN INDUSTRY 4.0 APPLICATIONS Written and edited by a team of international experts, this is the most comprehensive and up-to-date coverage of the security and privacy issues surrounding Industry 4.0 applications, a must-have for any library. The scope of Security Issues and Privacy Concerns in Industry 4.0 Applications is to envision the need for security in Industry 4.0 applications and the research opportunities for the future. This book discusses the security issues in Industry 4.0 applications for research development. It will also enable the reader to develop solutions for the security threats and attacks that prevail in the industry. The chapters will be framed on par with advancements in the industry in the area of Industry 4.0 with its applications in additive manufacturing, cloud computing, IoT (Internet of Things), and many others. This book helps a researcher and an industrial specialist to reflect on the latest trends and the need for technological change in Industry 4.0. Smart water management using IoT, cloud security issues with network forensics, regional language recognition for industry 4.0, IoT-based health care management systems, artificial intelligence for fake profile detection, and packet drop detection in agriculture-based IoT are covered in this outstanding new volume. Leading innovations such as smart drone for railway track cleaning, everyday life-supporting blockchain and big data, effective prediction using machine learning, classification of dog breed based on CNN, load balancing using the SPE approach and cyber culture impact on media consumers are also addressed. Whether a reference for the veteran engineer or an introduction to the technologies covered in the book for the student, this is a must-have for any library.
  table of contents: Preface xiii -- 1 Industry 4.0: Smart Water Management System Using IoT 1 S. Saravanan, N. Renugadevi, C.M. Naga Sudha and Parul Tripathi -- 1.1 Introduction 2 -- 1.1.1 Industry 4.0 2 -- 1.1.2 IoT 2 -- 1.1.3 Smart City 3 -- 1.1.4 Smart Water Management 3 -- 1.2 Preliminaries 4 -- 1.2.1 Internet World to Intelligent World 4 -- 1.2.2 Architecture of IoT System 4 -- 1.2.3 Architecture of Smart City 6 -- 1.3 Literature Review on SWMS 7 -- 1.3.1 Water Quality Parameters Related to SWMS 8 -- 1.3.2 SWMS in Agriculture 8 -- 1.3.3 SWMS Using Smart Grids 9 -- 1.3.4 Machine Learning Models in SWMS 10 -- 1.3.5 IoT-Based SWMS 11 -- 1.4 Conclusion 11 -- References 12 -- 2 Fourth Industrial Revolution Application: Network Forensics Cloud Security Issues 15 Abdullah Ayub Khan, Asif Ali Laghari, Shafique Awan and Awais Khan Jumani -- 2.1 Introduction 16 -- 2.1.1 Network Forensics 16 -- 2.1.2 The Fourth Industrial Revolution 17 -- 2.1.2.1 Machine-to-Machine (M2M) Communication 18 -- 2.1.3 Cloud Computing 18 -- 2.1.3.1 Infrastructure-as-a-Service (IaaS) 19 -- 2.1.3.2 Challenges of Cloud Security in Fourth Industrial Revolution 19 -- 2.2 Generic Model Architecture 20 -- 2.3 Model Implementation 24 -- 2.3.1 OpenNebula (Hypervisor) Implementation Platform 24 -- 2.3.2 NetworkMiner Analysis Tool 25 -- 2.3.3 Performance Matrix Evaluation & Result Discussion 27 -- 2.4 Cloud Security Impact on M2M Communication 28 -- 2.4.1 Cloud Computing Security Application in the Fourth Industrial Revolution (4.0) 29 -- 2.5 Conclusion 30 -- References 31 -- 3 Regional Language Recognition System for Industry 4.0 35 Bharathi V, N. Renugadevi, J. Padmapriya and M. Vijayprakash -- 3.1 Introduction 36 -- 3.2 Automatic Speech Recognition System 39 -- 3.2.1 Preprocessing 41 -- 3.2.2 Feature Extraction 42 -- 3.2.2.1 Linear Predictive Coding (LPC) 42 -- 3.2.2.2 Linear Predictive Cepstral Coefficient (LPCC) 44 -- 3.2.2.3 Perceptual Linear Predictive (PLP) 44 -- 3.2.2.4 Power Spectral Analysis 44 -- 3.2.2.5 Mel Freq…
  note: Shiblin David, R.S. Anand, V. Jeyakrishnan, M. Niranjanamurthy.
  subject:
    topic: Computer security
  subject:
    topic: Industry 4.0
  classification: QA76.9.A25 D38 2021
  classification: 005.8
  related item:
    title info:
      title: Security issues and privacy concerns in Industry 4.0 applications
    name:
      name part: David, Shiblin.
  identifier: 9781119776512
  identifier: 1119776511
  identifier: 9781119776529
  identifier: 111977652X
  identifier: 9781119776505
  identifier: 1119776503
  identifier: 9781119775621
  identifier: 1119775620
  identifier: 9781119776505 Wiley
  identifier: 9820909 IEEE
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 210809
    record change date: 20260214205146.5
    record identifier: in00004687457
    language of cataloging:
      language term: eng