Cyber Security, Malware Analysis, Malware Detection, Phishing Detection, IoT, Applications of Machine and Deep Learning
[1] S. Sharma, R. Kumar, and R. K. Challa, “A Survey on Analysis and Detection of Android Ransomware,” Journal of Concurrency and Computation: Practice and Experience, vol. 33, pp. 1–24, 2021.
[2] S. Sharma, N. Kumar, R. Kumar, and R. K. Challa, “The Paradox of Choice: Investigating Selection Strategies for Android Malware Datasets Using a Machine-learning Approach,” Communications of the Association for Information Systems, vol. 46, pp. 619–637, 2020.
[3] S. Sharma, R. K. Challa, and R. Kumar, “RansomDroid: Forensic analysis and detection of Android Ransomware using unsupervised machine learning technique,” Forensic Science International: Digital Investigation, vol. 37, pp. 1–11, 2021.
[4] S. Sharma, R. K. Challa, and R. Kumar, “An Ensemble-based Supervised Machine Learning Framework for Android Ransomware Detection,” International Arab Journal of Information Technology, vol. 18, no. 3A, pp. 422–429, 2021.
[5] S. Mishra, S.K. Satapathy, S.B. Cho, S.N. Mohanty, S. Sah, S. Sharma, “Advancing COVID-19 poverty estimation with satellite imagery-based deep learning techniques: a systematic review,” Spatial Information Research, vol. 32, pp. 583–592, 2024.
[6] R. Lenka, S. Sah, S. Sharma, S. N. Mohanty, “TinyCov-NET: Efficient and robust COVID-19 pneumonia diagnosis using a stacked shallow convolutional neural network,” Health and Technology, pp. 1-13, 2024.
[1] S. Sharma, R. Kumar, and R. K. Challa, “RansomAnalysis: The Evolution and Investigation of Android Ransomware,” in Proceedings of the International Conference on IoT Inclusive Life, Springer, 2020, pp. 33–41.
[2] S. Sharma, R. K. Challa, and R. Kumar, “Android Ransomware Detection using Machine Learning Techniques: A Comparative Analysis on GPU and CPU,” in Proceedings of the International Arab Conference on Information Technology, IEEE, 2020, pp. 1–6.
[3] N. Tarar, S. Sharma, R. K. Challa, “Analysis and Classification of Android Malware using Machine Learning Algorithms” in Proceedings of the International Conference on Inventive Computation Technologies, IEEE, 2018, pp. 738-743.
[4] P. Jaswal, S. Sharma, N. Bindra, R. K. Challa, “Detection and Prevention of Phishing Attacks on Banking Website,” in Proceedings of the International Conference on Futuristic Technologies, IEEE, 2022, pp. 1-8.
[5] S. Brahma, S. Sharma, R. K. Challa, “Activation Functions Impact on Malware Detection: A Multi-layer Perceptron Approach for Android Applications,” in Proceedings of the International Conference on Artificial Intelligence, Computing, IoT and Data Analytics, Springer, 2023, pp. 1-12.
B.Tech Major Project Supervised: 04 (Completed) and 03 (Ongoing)
M.Tech Thesis Supervised: 01 (Completed) and 04 (Ongoing)
Seeking outstanding PhD candidates
Others: