ISBN Book
The Role of Machine Learning in Cybersecurity: Advances and Limitations
Author:
Mohit Yadav
ISBN: 978-93-49929-57-9
The Role of Machine Learning in Cybersecurity: Advances and Limitations explores how machine learning (ML) is transforming the way digital systems detect, respond to, and defend against cyber threats. This book provides a comprehensive overview of both the cutting-edge innovations and the practical challenges in applying ML to cybersecurity. Blending theory with real-world case studies, the book covers essential topics such as anomaly detection, malware classification, threat intelligence, deepfakes, phishing prediction, Intrusion Detection Systems (IDS), and adversarial machine learning. It also critically examines the limitations of current ML models, including issues like data scarcity, false positives, algorithmic bias, and adversarial attacks.
Title: The Role of Machine Learning in Cybersecurity: Advances and Limitations
Author: Mohit Yadav
Publisher: ScienceTech Xplore
Copyright: ScienceTech Xplore
Language: English
Publication Format: Online
ISBN: 978-93-49929-57-9
DOI: https://doi.org/10.63282/978-93-49929-57-9
Subject/Genre: Cybersecurity/Information Security
Pages: 1-84
Chapters: 12
Year of Publication: June 2025
URL: https://sciencetechxplore.org/978-93-49929-57-9.php
Cite As:
Yadav, M. (2025). The Role of Machine Learning in Cybersecurity: Advances and Limitations. ScienceTech Xplore. ISBN 978-93-49929-57-9.