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Artificial Intelligence in Cyber Security: Theories and Applications

  • Book
  • © 2023

Overview

Editors:
  1. Tushar Bhardwaj

    1. Applied Research Center, Florida International University, Miami Fl, USA

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  2. Himanshu Upadhyay

    1. Applied Research Center, Florida International University, Miami Fl, USA

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  3. Tarun Kumar Sharma

    1. Shobhit University, Gangoh, India

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  4. Steven Lawrence Fernandes

    1. Department of Computer Science, Creighton University, Omaha, USA

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  • Highlights the applications and theory of artificial intelligence in the domain of cybersecurity
  • Presents applications of innovative approaches in real-time environments
  • Proposes new approaches and ideas

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 240)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. A Comprehensive Review on Cloud Security Using Machine Learning Techniques

    • Divya Gangwani, Harshal A. Sanghvi, Viral Parmar, Riki H. Patel, Abhijit S. Pandya
    Pages 1-24

  3. Energy Enhanced Routing Protocol for Heterogeneous Networks

    • Satyanarayana Mummana, Ramana Babu Budimure, Bosubabu Sambana, Preethi Gandreti, A. Chandra Sekhar
    Pages 25-33

  4. Sentiment Analysis “Using SVM, KNN and SVM with PCA”

    • Praveen Verma, Tushar Bhardwaj, Abhay Bhatia, Mohd Mursleen
    Pages 35-53

  5. Security Attack Detection Using Machine Learning and Deep Learning

    • Tarun Jain, Nityaa Kalra, Deepak Panwar, Aditya Sinha
    Pages 55-65

  6. Integration of Machine Learning with Cybersecurity: Applications and Challenges

    • Suprabha Das, Pranav Gangwani, Himanshu Upadhyay
    Pages 67-81

  7. AI-Based Anomaly Detection on IoT Data-Driven Thermal Power Plants for Condition Monitoring and Preventive Maintenance

    • Pranav Gangwani, Santosh Joshi, Himanshu Upadhyay, Leonel Lagos
    Pages 83-97

  8. Deep Learning Aided Intrusion Detection for Smart Grid Cyber Security

    • MD. Rifat Hossain, Tushar Bhardwaj
    Pages 99-112

  9. Learning-Based Model for Phishing Attack Detection

    • Jayesh Soni, Surya Sirigineedi, Krishna Sai Vutukuru, S. S. ChandanaEswari Sirigineedi, Nagarajan Prabakar, Himanshu Upadhyay
    Pages 113-124

  10. Deep Learning Approach for Detection of Fraudulent Credit Card Transactions

    • Jayesh Soni, Pranav Gangwani, Surya Sirigineedi, Santosh Joshi, Nagarajan Prabakar, Himanshu Upadhyay et al.
    Pages 125-138
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Keywords

About this book

This book highlights the applications and theory of artificial intelligence in the domain of cybersecurity.

The book proposes new approaches and ideas to present applications of innovative approaches in real-time environments. In the past few decades, there has been an exponential rise in the application of artificial intelligence technologies (such as deep learning, machine learning, blockchain) for solving complex and intricate problems arising in the domain of cybersecurity. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas.

 This book serves as a reference for young scholars, researchers, and industry professionals working in the field of Artificial Intelligence and Cybersecurity.

 


Editors and Affiliations

  • Applied Research Center, Florida International University, Miami Fl, USA

    Tushar Bhardwaj, Himanshu Upadhyay

  • Shobhit University, Gangoh, India

    Tarun Kumar Sharma

  • Department of Computer Science, Creighton University, Omaha, USA

    Steven Lawrence Fernandes

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