Machine Learning for Cyber Security
1st Edition
Published on 5. December 2022
X, 148 pages
978-3-11-076674-5 (ISBN)
Description
This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and security systems. Filling an important gap between ML and cyber security communities, it discusses topics covering a wide range of modern and practical ML techniques, frameworks and tools.
More details
Other editions
Additional editions
Preeti Malik | Lata Nautiyal | Mangey Ram
Machine Learning for Cyber Security
Book
07/2024
1st Edition
De Gruyter
€189.95
Shipment within 7-9 days
Preeti Malik | Lata Nautiyal | Mangey Ram
Machine Learning for Cyber Security
E-Book
12/2022
1st Edition
De Gruyter
€189.95
Available for download
Persons
Preeti Malik, Mangey Ram , Graphic Era University, India; Lata Nautiyal, University of Bristol, UK.
Content
- Intro
- Preface
- Contents
- List of contributors
- Editor's biography
- Differential privacy: a solution to privacy issue in social networks
- Cracking Captcha using machine learning algorithms: an intersection of Captcha categories and ML algorithms
- The ransomware: an emerging security challenge to the cyberspace
- Property-based attestation in device swarms: a machine learning approach
- A review of machine learning techniques in cybersecurity and research opportunities
- A framework for seborrheic keratosis skin disease identification using Vision Transformer
- Mapping AICTE cybersecurity curriculum onto CyBOK: a case study
- Index
