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Dr. Shweta Sharma
Dr. Shweta Sharma
Assistant Professor, Dept. of Computer Engineering, National Institute of Technology Kurukshetra
Verified email at nitkkr.ac.in
Title
Cited by
Cited by
Year
A Survey on Analysis and Detection of Android Ransomware
S Sharma, R Kumar, CR Krishna
Concurrency and Computation: Practice and Experience 33 (16), 1-24, 2021
382021
RansomDroid: Forensic analysis and detection of Android Ransomware using unsupervised machine learning technique
S Sharma, R Kumar, CR Krishna
Forensic Science International: Digital Investigation 37, 1-11, 2021
292021
Android Ransomware Detection using Machine Learning Techniques: A Comparative Analysis on GPU and CPU
S Sharma, CR Krishna, R Kumar
21st International Arab Conference on Information Technology (ACIT), 1-6, 2020
182020
RansomAnalysis: The Evolution and Investigation of Android Ransomware
S Sharma, R Kumar, CR Krishna
Proceedings of International Conference on IoT Inclusive Life (ICIIL 2019 …, 2020
142020
The Paradox of Choice: Investigating Selection Strategies for Android Malware Datasets Using a Machine-learning Approach
S Sharma, N Kumar, R Kumar, CR Krishna
Communications of the Association for Information Systems 46 (1), 619-637, 2020
112020
Detection and Prevention of De-authentication Attack in Real-time Scenario
S Sharma, M Mittal
International Journal of Innovative Technology and Exploring Engineering 8 …, 2019
102019
Analysis and Classification of Android Malware using Machine Learning Algorithms
N Tarar, S Sharma, CR Krishna
3rd International Conference on Inventive Computation Technologies (ICICT …, 2018
102018
An Ensemble-based Supervised Machine Learning Framework for Android Ransomware Detection
S Sharma, R Kumar, CR Krishna
The International Arab Journal of Information Technology 18 (3A), 1-8, 2021
82021
Detection and Prevention of Phishing Attacks on Banking Website
P Jaswal, S Sharma, N Bindra, CR Krishna
International Conference on Futuristic Technologies (INCOFT), 1-8, 2022
12022
Bioprospecting of Actinomycetes and its approaches
R Kumar, K Kaur, S Sharma
Lambert Academic Publishing, 2017
2017
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