0000-0002-2129-4509 About
Arvind Mahindru is an Associate Professor in the Department of Computer Science and Applications, DAV University Jalandhar. He has received his B. Tech. degree from Punjab Technical University, Jalandhar in 2007 and M. Tech. degree from Dr. B R Ambedkar National Institute of Technology, Jalandhar in 2013. He has received his Ph.D. degree in “Dynamic Analysis Based Android Malware Detection using Machine Learning Techniques” from Dr. B R Ambedkar National Institute of Technology, Jalandhar in 2021. His research expertise is in smartphone security. His research areas also include software testing and quality assurance, model-driven development, empirical methods, and software maintenance. He has 13 years of teaching experience. He is also serving as a reviewer for various International Journals including IEEE and Springer.
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Publications (17)
- A simple yet efficient derivative free approach for achieving highly accurate solutions to multivariate problems Save
- PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection Save
- PARUDroid: Framework that Enhances Smartphone Security Using an Ensemble Learning Approach Save
- ANNDroid: A Framework for Android Malware Detection Using Feature Selection Techniques and Machine Learning Algorithms Save
- SOMDROID: android malware detection by artificial neural network trained using unsupervised learning Save
- DNNdroid: Android Malware Detection Framework Based on Federated Learning and Edge Computing Save
- SemiDroid: a behavioral malware detector based on unsupervised machine learning techniques using feature selection approaches Save
- FSDroid:- A feature selection technique to detect malware from Android using Machine Learning Techniques Save
- MLDroid—framework for Android malware detection using machine learning techniques Save
- HybriDroid: an empirical analysis on effective malware detection model developed using ensemble methods Save