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: Advances in cyber security and intelligent analytics
  name:
    name part: Verma, Abhishek
    role:
      role term: editor.
  name:
    name part: Kumar, Jitendra
    role:
      role term: editor.
  name:
    name part: Gaur, Hari Mohan
    role:
      role term: editor.
  name:
    name part: Singh, Vrijendra
    role:
      role term: editor.
  name:
    name part: Balas, Valentina Emilia
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2023
    copyright date: 2023
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvii, 291 pages) : illustrations
  abstract: "We live in a digital world, where we use digital tools and smart devices to communicate over the Internet. In turn, an enormous amount of data gets generated. The traditional computing architectures are inefficient in storing and managing this massive amount of data. Unfortunately, the data cannot be ignored as it helps businesses to make better decisions, solve problems, understand performance, improve processes, and understand customers. Therefore, we need modern systems capable of handling and managing data efficiently. In the past few decades, many distributed computing paradigms have emerged, and we have noticed a substantial growth in the applications based on such emerging paradigms. Some well-known emerging computing paradigms include Cloud Computing, Fog Computing, and Edge Computing which have leveraged the increase in the volume of data being generated every second. However, the distributed computing paradigms face critical challenges, including network management and cyber security. We have witnessed the development of various networking models, IoT, SDN, and ICN, to support modern systems requirements. However, they are undergoing rapid changes and need special attention. The main issue faced by these paradigms is that traditional solutions cannot be directly applied to address the challenges. Therefore, there is a significant need to develop improved network management and cyber security solutions. To this end, the book highlights the challenges faced by emerging paradigms and presents the recent developments made to address the challenges. More specifically, it presents a detailed study on security issues in distributed computing environments and their possible solutions, followed by applications of medical IoT, deep learning, IoV, healthcare, etc"--
  table of contents: Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Acknowledgements -- Editors -- Contributors -- 1. Edge computing-enabled secure information-centric networking: Privacy challenges, benefits, and future trends -- 2. Weighted attack graphs and behavioral cyber game theory for cyber risk quantification -- 3. NetFlow-based botnet detection in IoT edge environment using ensemble gradient boosting machine learning framework -- 4. Exploring the possibility of blockchain and smart contract-based digital certificate -- 5. Senso Scale: A framework to preserve privacy over cloud using sensitivity range -- 6. Addressing the cybersecurity issues in cloud computing -- 7. Role of medical image encryption algorithms in cloud platform for teleradiology applications -- 8. Machine-learning approach for detecting cyberattacks in Medical Internet of Things -- 9. Secure IoV-enabled systems at Fog Computing: Layout, security, and optimization algorithms and open issues -- 10. A capability maturity model and value judgment systems for a distributed network of ethical and context aware digital twin agents -- 11. A detailed cram on artificial intelligence industrial systems 4.0 -- 12. Ensuring liveliness property in safety-critical systems -- 13. Machine learning for intelligent analytics -- 14. Secure 3D route optimization of combat vehicles in war field using IoV -- 15. Healthcare therapy for treating teenagers with internet addiction using behavioral patterns and neuro-feedback analysis -- 16. Containerization in cloud computing for OS-level virtualization -- 17. An adaptive deep learning approach for stock price forecasting -- Index.
  note: edited by Abhishek Verma, Jitendra Kumar, Hari Mohan Gaur, Vrijendra Singh, and Valentina Emilia Balas.
  note: Includes bibliographical references and index.
  note: Prof. Abhishek Verma is an Assistant Professor in the Department of Computer Science & Engineering at IIIT Jabalpur, India (an institution of national importance). He obtained a Ph.D degree (2020) on the Internet of Things security from the National Institute of Technology Kurukshetra, Haryana, India. He has more than seven years of experience in research and teaching. He has published several research articles in international SCI/SCIE/Scopus journals and conferences of high repute. He is an editorial board member of Research Reports on Computer Science (RRCS) and active review board member of various reputed journals, including IEEE, Springer, Wiley, and Elsevier. His current areas of interest include Information Security, Intrusion Detection, and the Internet of Things. Dr. Jitendra Kumar is an Assistant Professor in the Department of Computer Applications, National Institute of Technology Tiruchirappalli, Tamil Nādu, India (an institution of national importance) since May 2020. He earned his doctorate in Machine Learning and Cloud Computing from the National Institute of Technology Kurukshetra, Haryana, India in 2019. His research interests include Time Series Forecasting, Machine Learning, Evolutionary Algorithms, Cloud Management, and Optimization. He has authored and published a significant number of research articles in peer-reviewed and indexed journals and conferences of high repute. He has also authored a book on Machine Learning for Cloud Management. He has received three awards including best paper awards in international conferences. He is a senior member of IEEE and a member of several other IEEE societies, including CIS, TCCLD, and SIGHT. He is also a member of ACM and MIR Labs. He is an active review board member of various journals and conferences of repute such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computers, IEEE Systems Journal, IEEE Access, IJCNN, FUZZ-IEEE, and CEC. Dr. Hari Mohan Gaur is currently in t…
  subject:
    topic: Computer networks
    topic: Security measures
  subject:
    topic: Internet
    topic: Security measures
  subject:
    topic: Electronic data processing
    topic: Distributed processing
  subject:
    topic: Computer security
    topic: Technological innovations
  subject:
    topic: Réseaux d'ordinateurs
    topic: Sécurité
    topic: Mesures
  subject:
    topic: Internet
    topic: Sécurité
    topic: Mesures
  subject:
    topic: Traitement réparti
  subject:
    topic: Sécurité informatique
    topic: Innovations
  subject:
    topic: COMPUTERS / Networking / Security
  subject:
    topic: COMPUTERS / Artificial Intelligence
  subject:
    topic: COMPUTERS / Internet / Security
  subject:
    topic: Electronic data processing
    topic: Distributed processing
  subject:
    topic: Computer networks
    topic: Security measures
  subject:
    topic: Internet
    topic: Security measures
  classification: TK5105.59 .A38226 2023
  classification: 005.8
  related item:
    title info:
      title: Advances in cyber security and intelligent analytics
    origin info:
      publisher: Boca Raton : CRC Press, 2023
      edition: First edition.
    identifier: (DLC) 2022033769
  identifier: 9781003269144
  identifier: 1003269141
  identifier: 9781000821390
  identifier: 1000821390
  identifier: 9781000821451
  identifier: 1000821455
  identifier: 9781032216003
  identifier: 9781032216010
  identifier: 2022033770
  identifier: 9781003269144 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 220715
    record change date: 20241108165522.9
    record identifier: in00005520700
    language of cataloging:
      language term: eng