| A survey on various threats and current state of security in android platform P Bhat, K Dutta ACM Computing Surveys (CSUR) 52 (1), 1-35, 2019 | 87 | 2019 |
| A system call-based android malware detection approach with homogeneous & heterogeneous ensemble machine learning P Bhat, S Behal, K Dutta Computers & Security 130, 103277, 2023 | 26 | 2023 |
| A multi-tiered feature selection model for android malware detection based on feature discrimination and information gain P Bhat, K Dutta Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022 | 18 | 2022 |
| CogramDroid–An approach towards malware detection in Android using opcode ngrams P Bhat, K Dutta Concurrency and Computation: Practice and Experience 33 (20), e6332, 2021 | 6 | 2021 |
| Mapldroid: Malicious android application detection based on naive bayes using multiple P Bhat, K Dutta, S Singh 2019 2nd International Conference on Intelligent Communication and …, 2019 | 3 | 2019 |
| Machine learning and deep learning techniques for detecting malicious android applications: An empirical analysis P Bhat, S Behal, K Dutta Proceedings of the Indian National Science Academy 89 (3), 429-444, 2023 | | 2023 |
| A Review of Android Malware Detection A Yadav, B Gound, U Kumar, A Gorana, P Bhat Kilby 100, 7th, 2023 | | 2023 |
| Malware detection for android in static and dynamic environment P Bhat Hamirpur, 0 | | |
Kamlesh DuttaNational Institute of Technology, Hamirpur (HP) IndiaVerified email at nith.ac.in
Kamlesh DuttaNational Institute of Technology, Hamirpur (HP) IndiaVerified email at nith.ac.in