Intelligent Shields: Artificial Intelligence and Machine Learning for Cybersecurity

e-ISBN : 978-93-7020-892-6
Publisher : Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd.
Volume : 4-2025

AIM & SCOPE

The ever-evolving cyber landscape presents an ongoing challenge to traditional security measures and threat detection methodologies. As cyber threats grow in complexity, conventional defences are often rendered insufficient in identifying and mitigating sophisticated attacks. The book before you, Intelligent Shields: Artificial Intelligence and Machine Learning for Cybersecurity, delves into the transformative role of machine learning (ML) and artificial intelligence (AI) in modern cybersecurity, offering cutting-edge insights into data-driven security strategies. This volume provides a comprehensive exploration of ML-driven techniques, demonstrating how they enhance cybersecurity by automating threat detection, analysing vast datasets, and responding to anomalies with greater accuracy. Covering a diverse range of topics, from intrusion detection systems and malware analysis to behavioural analytics and adversarial machine learning, the chapters present a balanced mix of theoretical foundations and practical applications. Our goal is to equip readers with a deep understanding of the intersection between cybersecurity and machine learning, enabling them to harness AI-driven security solutions effectively. Through the contributions of seasoned experts and researchers, this book highlights real-world implementations, emerging trends, and challenges, paving the way for future advancements in cybersecurity. This collection serves as a valuable resource for researchers, cybersecurity professionals, data scientists, and students seeking to explore datadriven security solutions. Whether you are an industry practitioner or an academic enthusiast, we hope this book provides an indispensable guide to navigating the complexities of cybersecurity in the age of machine learning

Chapter 1
PROGRAMMING FUNDAMENTALS
https://www.doi.org/10.58532/nbennurASAI1

Chapter 2
CLOUD COMPUTING AND EDGE TECHNOLOGIES
https://www.doi.org/10.58532/nbennurASAI2

Chapter 3
COMPUTER ORGANIZATION AND OPERATING SYSTEMS
https://www.doi.org/10.58532/nbennurASAI3

Chapter 4
ARTIFICIAL INTELLIGENCE — CONCEPTS, APPLICATIONS, AND SOCIETAL IMPACT
https://www.doi.org/10.58532/nbennurASAI4

Chapter 5
SOFTWARE ENGINEERING
https://www.doi.org/10.58532/nbennurASAI5

Chapter 6
DATA STRUCTURES AND ALGORITHMS
https://www.doi.org/10.58532/nbennurASAI6

Chapter 7
CYBERSECURITY AND ETHICAL ISSUES
https://www.doi.org/10.58532/nbennurASAI7

Chapter 8
COMPUTER NETWORKS AND COMMUNICATION
https://www.doi.org/10.58532/nbennurASAI8

Chapter 9
DATABASE MANAGEMENT SYSTEMS
https://www.doi.org/10.58532/nbennurASAI9

Chapter 10
INTRODUCTION TO COMPUTER SCIENCE
https://www.doi.org/10.58532/nbennurASAI10

EDITORIAL BOARD MEMBERS

Dr. Payal Thakur
Assistant Professor
Manavrachna International Institute of Research and Studies
Specializing in Artificial Intelligence (AI)
Machine Learning (ML), andCybersecurity

Er. Navjot Singh Talwandi
Assistant Professor
Chandigarh University
specializing in Artificial Intelligence (AI), Machine Learning (ML),
Cybersecurity, and Data Science

Er. Shanu Khare
Assistant Professor
Chandigarh University, Specializing in Blockchain
Cybersecurity, and Ethical Hacking