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Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities

  • Book
  • © 2021

Overview

Editors:
  1. Sanjay Misra

    1. Center of ICT/ICE, Covenant University, Ota, Nigeria

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    You can also search for this editor in PubMed   Google Scholar

  2. Amit Kumar Tyagi

    1. Vellore Institute of Technology, Chennai, India

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    You can also search for this editor in PubMed   Google Scholar

  • Presents recent research on Artificial Intelligence for Cyber Security
  • Conducts analyses, implementation, and discussion of many tools of Artificial Intelligence, Machine Learning, Deep Learning, and Cyber Security for detecting malware, fraud, or intrusion
  • Written by experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 972)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. A Deep Learning Framework to Preserve Privacy in Federated (Collaborative) Learning

    • Sai Ganesh, Chinni Dheeraj, R. Padmavathy
    Pages 1-28

  3. Significance of Feature Selection and Pruning Algorithms in Machine Learning Classification of E-Mails

    • V. Bindu, Ciza Thomas
    Pages 29-50

  4. Biometric Fingerprint Generation Using Generative Adversarial Networks

    • Ogban-Asuquo Ugot, Chika Yinka-Banjo, Sanjay Misra
    Pages 51-83

  5. Assessing Cybersecurity Economic Risks in Virtual Power Plant UsingDeep Learning Techniques

    • V. Sampath Kumar, V. Lakshmi Narasimhan
    Pages 85-104

  6. Biometric E-Voting System for Cybersecurity

    • Chijioke Aniche, Chika Yinka-Banjo, Precious Ohalete, Sanjay Misra
    Pages 105-137

  7. Wrapper Based Approach for Network Intrusion Detection Model with Combination of Dual Filtering Technique of Resample and SMOTE

    • Olalekan J. Awujoola, Francisca N. Ogwueleka, Martins E. Irhebhude, Sanjay Misra
    Pages 139-167

  8. Proactive Network Packet Classification Using Artificial Intelligence

    • A. Abirami, S. Palanikumar
    Pages 169-187

  9. Security and Information Assurance for IoT-Based Big Data

    • Moses Kazeem Abiodun, Joseph Bamidele Awotunde, Roseline Oluwaseun Ogundokun, Emmanuel Abidemi Adeniyi, Micheal Olaolu Arowolo
    Pages 189-211

  10. Privacy Preservation Approaches for Social Network Data Publishing

    • Kamalkumar Macwan, Sankita Patel
    Pages 213-233

  11. An Obfuscation Technique for Malware Detection and Protection in Sandboxing

    • V. Sathya, Kirankumar Manivannan, V. Vani, Sridhar Chandrasekaran
    Pages 235-261

  12. Secure Data Sharing with Interplanetary File System for Pharmaceutical Data

    • Nesarani Abraham, Ramalakshmi Ramar
    Pages 263-289

  13. Blockchain-Enabled Verification System

    • John Rachwan, Piotr Chodyko
    Pages 291-317

  14. Threat Artificial Intelligence and Cyber Security in Health Care Institutions

    • Ana Fernandes, Margarida Figueiredo, Filomena Carvalho, José Neves, Henrique Vicente
    Pages 319-342

  15. Description of a Network Attack Ontology Presented Formally

    • Renier van Heerden, Louise Leenen, Barry Irwin
    Pages 343-368

  16. A Long Short Term Memory Model for Credit Card Fraud Detection

    • Otasowie Owolafe, Oluwaseun Bosede Ogunrinde, Aderonke Favour-Bethy Thompson
    Pages 369-391

  17. Application of Machine Learning for Ransomware Detection in IoT Devices

    • Roseline Oluwaseun Ogundokun, Joseph Bamidele Awotunde, Sanjay Misra, Oluwakemi Christiana Abikoye, Oluwafemi Folarin
    Pages 393-420

  18. Machine Learning Algorithm for Cryptocurrencies Price Prediction

    • Joseph Bamidele Awotunde, Roseline Oluwaseun Ogundokun, Rasheed Gbenga Jimoh, Sanjay Misra, Taye Oladele Aro
    Pages 421-447

  19. Metaheuristic Techniques in Attack and Defense Strategies for Cybersecurity: A Systematic Review

    • Agustín Salas-Fernández, Broderick Crawford, Ricardo Soto, Sanjay Misra
    Pages 449-467
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Keywords

About this book

This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.

Editors and Affiliations

  • Center of ICT/ICE, Covenant University, Ota, Nigeria

    Sanjay Misra

  • Vellore Institute of Technology, Chennai, India

    Amit Kumar Tyagi

Bibliographic Information

  • Book Title: Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities

  • Editors: Sanjay Misra, Amit Kumar Tyagi

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-030-72236-4

  • 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 2021

  • Hardcover ISBN: 978-3-030-72235-7Published: 01 June 2021

  • Softcover ISBN: 978-3-030-72238-8Published: 02 June 2022

  • eBook ISBN: 978-3-030-72236-4Published: 31 May 2021

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 467

  • Number of Illustrations: 86 b/w illustrations, 108 illustrations in colour

  • Topics: Computational Intelligence, Data Engineering, Artificial Intelligence

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