Machine Learning for Cyber Security

Published by De Gruyter 2023

Machine Learning for Cyber Security

Edited by: Preeti Malik , Lata Nautiyal and Mangey Ram

Volume 15 in the series De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences

https://doi.org/10.1515/9783110766745

Overview
Contents

About this book

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.

Author information

Preeti Malik, Mangey Ram, Graphic Era University, India; Lata Nautiyal, University of Bristol, UK.

Topics

Frontmatter Publicly Available Download PDF	I
Preface Publicly Available Download PDF	V
Contents Publicly Available Download PDF	VII
List of contributors Publicly Available Download PDF	IX
Editor’s biography Publicly Available Download PDF	XI
Differential privacy: a solution to privacy issue in social networks Preeti Malik, Varsha Mittal, Mohit Mittal and Kamika Requires Authentication Unlicensed Licensed Download PDF	1
Cracking Captcha using machine learning algorithms: an intersection of Captcha categories and ML algorithms Krishnadas Nanath and Abdul Rahman Requires Authentication Unlicensed Licensed Download PDF	27
The ransomware: an emerging security challenge to the cyberspace Dinesh C. Dobhal, Kiran Aswal, Heman Pathak and Umesh K. Tiwari Requires Authentication Unlicensed Licensed Download PDF	41
Property-based attestation in device swarms: a machine learning approach Samuel Wedaj Kibret Requires Authentication Unlicensed Licensed Download PDF	71
A review of machine learning techniques in cybersecurity and research opportunities Sangeeta Mittal Requires Authentication Unlicensed Licensed Download PDF	91
A framework for seborrheic keratosis skin disease identification using Vision Transformer Vikas Kumar Roy, Vasu Thakur, Nikhil Baliyan, Nupur Goyal and Rahul Nijhawan Requires Authentication Unlicensed Licensed Download PDF	117
Mapping AICTE cybersecurity curriculum onto CyBOK: a case study Preeti Malik, Ashwini Kumar Singh, Rohit Nautiyal and Swati Rawat Requires Authentication Unlicensed Licensed Download PDF	129
Index Requires Authentication Unlicensed Licensed Download PDF	145

(Deutsch)

Language: English
Publisher: De Gruyter
Audience: Researchers, Graduate Students, Professionals and CTOs
Pages
- Front matter: 10
- Main content: 148
Illustrations
- Illustrations: 7
- Coloured Illustrations: 35
- Tables: 26
Keywords: Machine Learning; Deep Learning; Neuronal Networks; Cybersecurity; IT-Security.

eBook

Published: December 5, 2022
ISBN: 9783110766745

Hardcover

Published: December 5, 2022
ISBN: 9783110766738