
Mobile OS Vulnerabilities
quantitative and qualitative analysis
$97.52
- Paperback
179 pages
- Release Date
19 December 2024
Summary
Decoding Mobile Security: Unveiling Vulnerabilities and Fortifying Defenses
This book offers an in-depth analysis of security vulnerabilities in different mobile operating systems. It provides methodology and solutions for handling Android malware and vulnerabilities, and transfers the latest knowledge in machine learning and deep learning models towards this end. Further, it presents a comprehensive analysis of software vulnerabilities based on different technical parameters such a…
Book Details
ISBN-13: | 9781032407487 |
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ISBN-10: | 1032407484 |
Author: | Shivi Garg, Niyati Baliyan |
Publisher: | Taylor & Francis Ltd |
Imprint: | CRC Press |
Format: | Paperback |
Number of Pages: | 179 |
Release Date: | 19 December 2024 |
Weight: | 453g |
Dimensions: | 234mm x 156mm |
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About The Author
Shivi Garg
Shivi Garg holds a Doctor of Philosophy in Information Technology from Indira Gandhi Delhi Technical University for Women (IGDTUW), Delhi, India. Her thesis focused on the Design and Analysis of Mobile Application Vulnerabilities. She also holds a post graduate degree in Information Security from Delhi Technological University (DTU), Delhi, India. She has teaching and research experience since August 2016 and is currently an Assistant Professor at J.C. Bose University of Science & Technology, YMCA, Faridabad. Her research interests include Information Security, mobile security, cyber security, and Machine Learning.
Niyati Baliyan is an Assistant Professor in the Department of Computer Engineering at the National Institute of Technology Kurukshetra, Haryana. She earned a Doctor of Philosophy from the Computer Science Department at the Indian Institute of Technology (IIT) Roorkee, India, with a thesis titled “Quality Assessment of Semantic Web based Applications”. She also holds a Post Graduate Certificate in Information Technology from Sheffield Hallam University, Sheffield, U.K. Niyati obtained a Chancellor’s Gold Medal for being the University topper during her post graduate studies at Gautam Buddha University. She is co-author of “Semantic Web Based Systems: Quality Assessment Models, SpringerBriefs in Computer Science”, 2018. Her research interests include Knowledge Engineering, Machine Learning, Healthcare analytics, Recommender systems, Information Security, and Natural Language Processing.
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