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ABOUT THE BOOK

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 cybersecurity so that any reader, from novice to expert, may understand the book’s explanations of key topics.

It offers comprehensive coverage of the essential topics, including:

• machine learning and deep learning for cybersecurity
• blockchain for cybersecurity and privacy
• security engineering for cyber-physical systems
• AI and data analytics techniques for cybersecurity in smart systems
• trust in digital systems

This book discusses the current state-of-the-art and practical solutions for the following cybersecurity and privacy issues using artificial intelligence techniques and cutting-edge technology. Readers interested in learning more about computational intelligence techniques for cybersecurity applications and management will find this book invaluable. They will get insight into potential avenues for future study on these topics and be able to prioritize their efforts better.

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