1st Edition

Handbook of AI-Driven Threat Detection and Prevention A Holistic Approach to Security

Edited By Pankaj Bhambri, A. Jose Anand Copyright 2025
388 Pages 71 B/W Illustrations
by CRC Press

388 Pages 71 B/W Illustrations
by CRC Press

In today’s digital age, the risks to data and infrastructure have increased in both range and complexity. As a result, companies need to adopt cutting-edge artificial intelligence (AI) solutions to effectively detect and counter potential threats. This handbook fills the existing knowledge gap by bringing together a team of experts to discuss the latest advancements in security systems powered by... Read more

1. Understanding AI and Machine Learning in Security

Pankaj Bhambri

 

2. Data Collection and Preprocessing for Security

Satya Subrahmanyam

 

3. Feature Engineering for Threat Detection

Sepideh Bazzaz Abkenar, Mostafa Haghi Kashani, and Mohammad Nikravan

 

4. Anomaly Detection with Artificial Intelligence

Mohammad Nikravan, Mostafa Haghi Kashani, and Sepideh Bazzaz Abkenar

 

5. Signature-Based Security in Wireless Communication

J. S. Prasath, S. Benjamin Arul, A. Vijaya Lakshmi, and Jose Anand A.

 

6. Behavioral Analysis for Threat Detection

Satya Subrahmanyam

 

7. Network Security with Artificial Intelligence

Rachna Rana and Pankaj Bhambri

 

8. Endpoint Security and Artificial Intelligence in the Financial Sector

Shaista Alvi

 

9. Cloud Security and Artificial Intelligence

Mansi Sharma, David Raymond, Induni Weerarathna, Praveen Kumar, and Abeny Ramadan Chadar

 

10. Adversarial Attacks on AI Security Systems: Investigating the Vulnerability of AI-Powered Security Solutions

Shaista Alvi

 

11. Ethical Considerations and Privacy in AI-Powered Security

Gowtham H, Nandha Gopal J, and Jose Anand A.

 

12. Artificial Intelligence in Financial Fraud Detection

M. Narender and Jose Anand A.

 

13. Graph-Based Intelligent Cyber Threat Detection System

Julien Michel and Pierre Parrend

 

14. Future Trends in Artificial Intelligence Driven Security

Utpal Ghosh and Uttam Kr. Mondal

 

15. Enhancing Cybersecurity with Distributed Models and Sparse Mixture of Experts

Ashok J, Jayapratha T, Arunmozhi S A, Gayathri B, Karthick K, and Mayakannan S

 

16. Anomaly Detection in SIEM Data: User Behavior Analysis with Artificial Intelligence

Vedat Önal, Halil Arslan, and Özkan Canay

 

17. AI-Driven Security System for Biometric Surveillance

Özgur Önday

 

18. AI-Powered Predictive Analysis for Proactive Cyber Defense

Pankaj Bhambri and Paula Bajdor

 

19. Deep Learning Techniques for Intrusion Detection in Critical Infrastructure

Pankaj Bhambri and Ilona Paweloszek

 

20. Quantum Computing and AI Synergies: Strengthening Cybersecurity Resilience

Pankaj Bhambri and Ahmed Hamad

 

21. Integrating AI with Blockchain for Decentralized Security and Threat Prevention

Pankaj Bhambri and Marta Starostka-Patyk

Biography

Dr. Pankaj Bhambri is affiliated with the Department of Information Technology at Guru Nanak Dev Engineering College in Ludhiana. He fulfills the role of the Convener for his Departmental Board of Studies. He possesses nearly two decades of teaching experience. He is an active member of IE India, ISTE New Delhi, IIIE Navi Mumbai, IETE New Delhi, and CSI Mumbai. He has contributed to the various research activities while publishing articles in the renowned SCIE and Scopus journals and conference proceedings. He has also published several international patents. Dr. Bhambri has garnered extensive experience in the realm of academic publishing, having served as an editor/author for a multitude of books in collaboration with esteemed publishing houses. Dr. Bhambri has been honored with several prestigious accolades, including the ISTE Best Teacher Award in 2023 and 2022, the I2OR National Award in 2020, the Green ThinkerZ Top 100 International Distinguished Educators award in 2020, the I2OR Outstanding Educator Award in 2019, the SAA Distinguished Alumni Award in 2012, the CIPS Rashtriya Rattan Award in 2008, the LCHC Best Teacher Award in 2007, and numerous other commendations from various government and nonprofit organizations. He has provided guidance and oversight for numerous research projects and dissertations at the postgraduate and Ph.D. levels. He has successfully organized a diverse range of educational programs, securing financial backing from esteemed institutions such as the AICTE, the TEQIP, among others. Dr. Bhambri’s areas of interest encompass machine learning, bioinformatics, wireless sensor networks, and network security.

Dr. A. Jose Anand is currently associated with Halifax Regional Center for Education, Halifax, Nova Scotia, Canada. Earlier, he had worked as a professor at the Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, Tamil Nadu, India. He has one year of industrial experience, 24 years of teaching experience, and one year of experience as an assistant for Halifax Regional Center for Education at Saint Mary’s Elementary School, Halifax, Nova Scotia, Canada. He has presented several papers at national and international conferences. He has published several papers in national and international journals and has published books for polytechnic and engineering subjects. He is a member of CSI, IEI, IET, IETE, ISTE, INS, QCFI, and EWB. His current research interests are wireless sensor networks, embedded systems, Internet of Things, machine learning, and image processing.