mprasad@gitam.edu
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Mahendra Prasad received B.Tech. in IT from RTU, Kota, and M.Tech. in AI from the University of Hyderabad (Central University). He has completed full-time Ph.D. (CSE) from IIT Dhanbad (2017 - 2022). During his Ph.D., he published 6 top-quality research papers (Q1 & Q2 - WoS). He is also qualified GATE & UGC-NET multiple times, and he is a reviewer of Elsevier, Springer, Wiley, and IEEE journals. He has been working at GITAM University Visakhapatnam as an Assistant Professor since July 2022.
Research Publications
- Mahendra Prasad, Sachin Tripathi, and Keshav Dahal, “An efficient feature selection based Bayesian and Rough set approach for intrusion detection”, Applied Soft Computing Journal, Elsevier, 2020, 87, 105980, DOI: 10.1016/j.asoc.2019.105980.
- Mahendra Prasad, Sachin Tripathi, and Keshav Dahal, “Unsupervised feature selection and cluster center initialization based arbitrary shaped clusters for intrusion detection”, Computers and Security, Elsevier, 2020, 99, 102062, DOI: 10.1016/j.cose.2020.102062.
- Mahendra Prasad, Sachin Tripathi, and Keshav Dahal, “An intelligent intrusion detection and performance reliability evaluation mechanism in mobile ad-hoc networks”, Engineering Applications of Artificial Intelligence, Elsevier, 2023, 119, 105760, DOI: 10.1016/j.engappai.2022.105760.
- Mahendra Prasad, Sachin Tripathi, and Keshav Dahal, “A probability estimation-based feature reduction and Bayesian rough set approach for intrusion detection in mobile ad-hoc network”, Applied Intelligence, Springer, 2022, DOI: 10.1007/s10489-022-03763-2.
- Mahendra Prasad, Sachin Tripathi, and Keshav Dahal, “An enhanced detection system against routing attacks in mobile ad-hoc network”, Wireless Networks, Springer, 2022, 28(4), pp. 1411–1428, DOI: 10.1007/s11276-022-02913-1.
Expertise
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Machine Learning
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Intrusion Detection System
