V
Vijay Laxmi
Researcher at Malaviya National Institute of Technology, Jaipur
Publications - 240
Citations - 3007
Vijay Laxmi is an academic researcher from Malaviya National Institute of Technology, Jaipur. The author has contributed to research in topics: Malware & Routing protocol. The author has an hindex of 24, co-authored 232 publications receiving 2518 citations. Previous affiliations of Vijay Laxmi include Guru Kashi University.
Papers
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Journal ArticleDOI
Android Security: A Survey of Issues, Malware Penetration, and Defenses
Parvez Faruki,Ammar Bharmal,Vijay Laxmi,Vijay Ganmoor,Manoj Singh Gaur,Mauro Conti,Muttukrishnan Rajarajan +6 more
TL;DR: This review gives an insight into the strengths and shortcomings of the known research methodologies and provides a platform, to the researchers and practitioners, toward proposing the next-generation Android security, analysis, and malware detection techniques.
Proceedings ArticleDOI
AndroSimilar: robust statistical feature signature for Android malware detection
TL;DR: AndroSimilar is a syntactic foot-printing mechanism that finds regions of statistical similarity with known malware to detect those unknown, zero day samples and demonstrates robust detection of variants of known malware families.
Book ChapterDOI
Machine Learning Approach for Multiple Misbehavior Detection in VANET
TL;DR: This paper presents a machine learning approach to classify multiple misbehaviors in VANET using concrete and behavioral features of each node that sends safety packets, and shows that Random Forest and J-48 classifiers perform better compared to other classifiers.
Journal ArticleDOI
Employing Program Semantics for Malware Detection
TL;DR: This work proposes an evasion-proof solution that is not vulnerable to system-call injection attacks, and characterizes program semantics using asymptotic equipartition property (AEP) mainly applied in information theoretic domain.
Proceedings ArticleDOI
MEDUSA: MEtamorphic malware dynamic analysis usingsignature from API
TL;DR: It is shown that most of the metamorphic viruses of same family are detected by the same base signature, and a Proximity Index between the various Metamorphic generators has been proposed to determine how similar two or more generators are.