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Emerging Trends in Information System Security Using AI & Data Science for Next-Generation Cyber Analytics

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  • © 2025

Overview

Editors:
  1. Faisal Rehman

    1. Department of Robotics and Artificial Intelligence, National University of Sciences and Technology, Islamabad, Pakistan

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  2. Inam Ullah Khan

    1. Multimedia University, Cyberjaya, Malaysia

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  3. Oroos Arshi

    1. School of Computer Science, University of Petroleum and Energy Study, Dehradun, India

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  4. Shashi Kant Gupta

    1. Eudoxia Research University, New Castle, USA

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  • Offers insight into the evolving landscape of cyber threats and the imperative for innovative solutions
  • Explores cyber analytics, threat analysis, and the safeguarding of information systems in an interconnected world
  • Includes case studies and practical applications

Part of the book series: Information Systems Engineering and Management (ISEM, volume 32)

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About this book

This book is a comprehensive exploration into the intersection of cutting-edge technologies and the critical domain of cybersecurity; this book delves deep into the evolving landscape of cyber threats and the imperative for innovative solutions. From establishing the fundamental principles of cyber security to scrutinizing the latest advancements in AI and machine learning, each chapter offers invaluable insights into bolstering defenses against contemporary threats. Readers are guided through a journey that traverses the realms of cyber analytics, threat analysis, and the safeguarding of information systems in an increasingly interconnected world. With chapters dedicated to exploring the role of AI in securing IoT devices, employing supervised and unsupervised learning techniques for threat classification, and harnessing the power of recurrent neural networks for time series analysis, this book presents a holistic view of the evolving cybersecurity landscape. Moreover, it highlights the importance of next-generation defense mechanisms, such as generative adversarial networks (GANs) and federated learning techniques, in combating sophisticated cyber threats while preserving privacy. This book is a comprehensive guide to integrating AI and data science into modern cybersecurity strategies. It covers topics like anomaly detection, behaviour analysis, and threat intelligence, and advocates for proactive risk mitigation using AI and data science. The book provides practical applications, ethical considerations, and customizable frameworks for implementing next-gen cyber defense strategies. It bridges theory with practice, offering real-world case studies, innovative methodologies, and continuous learning resources to equip readers with the knowledge and tools to mitigate cyber threats.

Keywords

Table of contents (12 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. AI-Driven Modern Cybersecurity Approach: A Systematic Literature Review

    • Yasir khan, Muhammad Tufail
    Pages 1-14

  3. Cyber Security in the Post Quantum Computer Era: Threats and Perspectives

    • Muhammad Sajid Iqbal, Ahthasham Sajid, Rida Malik
    Pages 15-29

  4. Deep Neural Network for DoS Detection in Wireless Sensors Networks

    • Hajar Fares, Hajraoui Nirmin, Hajraoui Abderrahmane
    Pages 31-40

  5. Survey on IoT Security Threats Application and Architectures

    • Maria Hanif, Ahthasham Sajid, Rida Malik, Fariha Shoukat, Muhammad Sajid Iqbal
    Pages 41-50

  6. Lightweight Cryptography Algorithms for IoT Devices

    • Muhammad Farukh Sohail, Malik Muhammad Nadeem, Ahthasham Sajid, Hamza Razza, Arslan Ali Khan
    Pages 51-65

  7. Guarding the Digital Gateway: An In-Depth Analysis of Cybersecurity Challenges in India

    • Snehal A. Bagul
    Pages 67-92

  8. Predictive Modeling for Food Security Assessment Using Synthetic Minority Over-Sampling Technique

    • Imran Khan, Atta Ur Rahman, Ahthasham Sajid
    Pages 93-106

  9. Exploring the Secure Unleashing of Digital Potential: A Study on How Cloud Security Works Together with Digital Transformation in Financial Institutions of Pakistan

    • Khurram Shoaib
    Pages 107-117

  10. Reviewing Theoretical Perspectives on IT Governance and Compliance in Banking: Insights from US Regulatory Frameworks

    • Muhammad Nauman Zakki, Nimra Iftikhar, Saim Saif Ullah Khan, Farhood Nishat, Oroos Arshi
    Pages 119-133

  11. Overcoming Challenges and Implementing Effective Information Security Policies for Remote Work Environments

    • Muhammad Nauman Zakki, Nimra Iftikhar, Saim Saif Ullah Khan, Farhood Nishat, Oroos Arshi
    Pages 135-151

  12. Generative Adversarial Networks (GAN) Insights for Cyber Security Applications

    • Mohammad Shahnawaz Shaikh
    Pages 153-172

  13. Future Emerging Challenges and Innovations in Next Gen-Cybersecurity and Information Systems Security

    • Umna Iftikhar, Huma Rashid, Hafiz Muhammad Attaullah
    Pages 173-203
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Editors and Affiliations

  • Department of Robotics and Artificial Intelligence, National University of Sciences and Technology, Islamabad, Pakistan

    Faisal Rehman

  • Multimedia University, Cyberjaya, Malaysia

    Inam Ullah Khan

  • School of Computer Science, University of Petroleum and Energy Study, Dehradun, India

    Oroos Arshi

  • Eudoxia Research University, New Castle, USA

    Shashi Kant Gupta

Bibliographic Information

  • Book Title: Emerging Trends in Information System Security Using AI & Data Science for Next-Generation Cyber Analytics

  • Editors: Faisal Rehman, Inam Ullah Khan, Oroos Arshi, Shashi Kant Gupta

  • Series Title: Information Systems Engineering and Management

  • DOI: https://doi.org/10.1007/978-3-031-81481-5

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Hardcover ISBN: 978-3-031-81480-8Published: 18 April 2025

  • Softcover ISBN: 978-3-031-81483-9Due: 02 May 2026

  • eBook ISBN: 978-3-031-81481-5Published: 17 April 2025

  • Series ISSN: 3004-958X

  • Series E-ISSN: 3004-9598

  • Edition Number: 1

  • Number of Pages: XIV, 203

  • Number of Illustrations: 5 b/w illustrations, 51 illustrations in colour

  • Topics: Data Engineering, Computational Intelligence, Artificial Intelligence

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