Description

Book Synopsis

As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, computational intelligence techniques such as machine learning and automatic natural language processing quickly provide the means to identify real threats and dramatically reduce response times.

The book collects and reports on recent high-quality research addressing different cybersecurity challenges. It:

  • explores the newest developments in the use of computational intelligence and AI for cybersecurity applications
  • provides several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (smart health care, blockchain, cyber-physical system, etc.)
  • integrates theoretical and practical aspects of computational intelligence for cyb

    Table of Contents

    Section 1

    Big Data and Computational Intelligence for Cybersecurity Management and Applications

    Chapter 1

    Applications of Big Data and Blockchain for Cybersecurity Management Challenges and Solutions - Swathi Lakkineni, Lo’ai Tawalbeh, and Izzat Alsmadi

    Chapter 2

    Deep Learning Techniques for Cybersecurity Applications - Balakrishnan S, Aswin G, Mohan Babu Chowdary, V. Arulkumar

    Chapter 3

    Deep Learning Techniques for Malware Classification - Mustapha Belaissaoui, Yassine Maleh, Soufyane Mounir

    Section 2

    Computational Intelligence for Cybersecurity Applications

    Chapter 4

    Machine Learning and Blockchain for Security Management in Banking System - Oshin Sharma, Nidhi Pandey

    Chapter 5

    Machine Learning Techniques for Fault Tolerance Management - Harinahalli Lokesh Gururaj, Francesco Flammini, Beekanahalli Harish Swathi, Nandini Nagaraj, and Sunil Kumar Byalaru Ramesh

    Chapter 6

    An efficient approach of Image Detection and Recognition using Artificial Intelligence in Cyber-Physical System - Musarrat Saberin Nipun, Rejwan Bin Sulaiman and Amer Kareem

    Section 3

    Blockchain and Computational Intelligence for Cybersecurity Applications

    Chapter 7

    Artificial Intelligence Incorporated in Business Analytics and Blockchain to Enhance Security - Mamata Rath, Subhranshu Sekhar Tripathy,Niva Tripathy, Chhabi Rani Panigrahi, Bibudhendu Pati

    Chapter 8

    Blockchain solutions for Security and Privacy issues in Smart Healthcare - Pinky Bai, Sushil Kumar, Upasana Dohare

    Chapter 9

    Algorithm for Trust in Ewom for Digital Systems - B.H. Khoi, B.V.Quang, N.V.T.Truong

    Chapter 10

    Study of IoT Security for blockchain management: An application to data backup - Cédric Tala Kuate, Franklin Tchakounte, Jean Claude Kamgang

    Chapter 11

    Blockchain Application for Cybersecurity in Cyber-physical Systems - Soufyane Mounir and Yassine Maleh

    Compilation of References

    About the Authors

    Index

Computational Intelligence for Cybersecurity

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    £99.99

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    Order before 4pm tomorrow for delivery by Wed 10 Jun 2026.

    A Hardback by Yassine Maleh, Mamoun Alazab, Soufyane Mounir

    1 in stock


      View other formats and editions of Computational Intelligence for Cybersecurity by Yassine Maleh

      Publisher: Taylor & Francis Ltd
      Publication Date: 4/28/2023 12:00:00 AM
      ISBN13: 9781032335032, 978-1032335032
      ISBN10: 1032335033

      Description

      Book Synopsis

      As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, computational intelligence techniques such as machine learning and automatic natural language processing quickly provide the means to identify real threats and dramatically reduce response times.

      The book collects and reports on recent high-quality research addressing different cybersecurity challenges. It:

      • explores the newest developments in the use of computational intelligence and AI for cybersecurity applications
      • provides several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (smart health care, blockchain, cyber-physical system, etc.)
      • integrates theoretical and practical aspects of computational intelligence for cyb

        Table of Contents

        Section 1

        Big Data and Computational Intelligence for Cybersecurity Management and Applications

        Chapter 1

        Applications of Big Data and Blockchain for Cybersecurity Management Challenges and Solutions - Swathi Lakkineni, Lo’ai Tawalbeh, and Izzat Alsmadi

        Chapter 2

        Deep Learning Techniques for Cybersecurity Applications - Balakrishnan S, Aswin G, Mohan Babu Chowdary, V. Arulkumar

        Chapter 3

        Deep Learning Techniques for Malware Classification - Mustapha Belaissaoui, Yassine Maleh, Soufyane Mounir

        Section 2

        Computational Intelligence for Cybersecurity Applications

        Chapter 4

        Machine Learning and Blockchain for Security Management in Banking System - Oshin Sharma, Nidhi Pandey

        Chapter 5

        Machine Learning Techniques for Fault Tolerance Management - Harinahalli Lokesh Gururaj, Francesco Flammini, Beekanahalli Harish Swathi, Nandini Nagaraj, and Sunil Kumar Byalaru Ramesh

        Chapter 6

        An efficient approach of Image Detection and Recognition using Artificial Intelligence in Cyber-Physical System - Musarrat Saberin Nipun, Rejwan Bin Sulaiman and Amer Kareem

        Section 3

        Blockchain and Computational Intelligence for Cybersecurity Applications

        Chapter 7

        Artificial Intelligence Incorporated in Business Analytics and Blockchain to Enhance Security - Mamata Rath, Subhranshu Sekhar Tripathy,Niva Tripathy, Chhabi Rani Panigrahi, Bibudhendu Pati

        Chapter 8

        Blockchain solutions for Security and Privacy issues in Smart Healthcare - Pinky Bai, Sushil Kumar, Upasana Dohare

        Chapter 9

        Algorithm for Trust in Ewom for Digital Systems - B.H. Khoi, B.V.Quang, N.V.T.Truong

        Chapter 10

        Study of IoT Security for blockchain management: An application to data backup - Cédric Tala Kuate, Franklin Tchakounte, Jean Claude Kamgang

        Chapter 11

        Blockchain Application for Cybersecurity in Cyber-physical Systems - Soufyane Mounir and Yassine Maleh

        Compilation of References

        About the Authors

        Index

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