| Machine learning approach for detection of flooding DoS attacks in 802.11 networks and attacker localization M Agarwal, D Pasumarthi, S Biswas, S Nandi International Journal of Machine Learning and Cybernetics 7, 1035-1051, 2016 | 61 | 2016 |
| An efficient scheme to detect evil twin rogue access point attack in 802.11 Wi-Fi networks M Agarwal, S Biswas, S Nandi International Journal of Wireless Information Networks 25, 130-145, 2018 | 55 | 2018 |
| Detection of de-authentication dos attacks in wi-fi networks: A machine learning approach M Agarwal, S Biswas, S Nandi 2015 IEEE International Conference on Systems, Man, and Cybernetics, 246-251, 2015 | 49 | 2015 |
| Discrete event system framework for fault diagnosis with measurement inconsistency: Case study of rogue DHCP attack M Agarwal, S Biswas, S Nandi IEEE/CAA Journal of Automatica Sinica 6 (3), 789-806, 2017 | 44 | 2017 |
| Intrusion Detection System for PS-Poll DoS Attack in 802.11 Networks using Real Time Discrete Event System SB Nandi, M. Agarwal, S. Purwar IEEE/CAA Journal of Automatica Sinica, 1-16, 2016 | 41* | 2016 |
| Peer review analyze: A novel benchmark resource for computational analysis of peer reviews T Ghosal, S Kumar, PK Bharti, A Ekbal Plos one 17 (1), e0259238, 2022 | 40 | 2022 |
| Advanced stealth man-in-the-middle attack in WPA2 encrypted Wi-Fi networks M Agarwal, S Biswas, S Nandi IEEE communications letters 19 (4), 581-584, 2015 | 39 | 2015 |
| Long short-term memory-singular spectrum analysis-based model for electric load forecasting N Neeraj, J Mathew, M Agarwal, RK Behera Electrical Engineering 103 (2), 1067-1082, 2021 | 38 | 2021 |
| Detection of De-authentication Denial of Service attack in 802.11 networks M Agarwal, S Biswas, S Nandi 2013 Annual IEEE India Conference (INDICON), 1-6, 2013 | 35 | 2013 |
| Estimation of time dependent scour depth around circular bridge piers: Application of ensemble machine learning methods S Kumar, MK Goyal, V Deshpande, M Agarwal Ocean Engineering 270, 113611, 2023 | 31 | 2023 |
| PM2. 5 air pollution prediction through deep learning using meteorological, vehicular, and emission data: a case study of New Delhi, India D Shakya, V Deshpande, MK Goyal, M Agarwal Journal of Cleaner Production 427, 139278, 2023 | 25 | 2023 |
| Predicting total sediment load transport in rivers using regression techniques, extreme learning and deep learning models D Shakya, V Deshpande, B Kumar, M Agarwal Artificial intelligence review 56 (9), 10067-10098, 2023 | 20 | 2023 |
| Standalone and ensemble-based machine learning techniques for particle Froude number prediction in a sewer system D Shakya, V Deshpande, M Agarwal, B Kumar Neural Computing and Applications 34 (18), 15481-15497, 2022 | 18 | 2022 |
| Estimating particle froude number of sewer pipes by boosting machine-learning models D Shakya, M Agarwal, V Deshpande, B Kumar Journal of Pipeline Systems Engineering and Practice 13 (2), 04022012, 2022 | 17 | 2022 |
| Peerassist: leveraging on paper-review interactions to predict peer review decisions PK Bharti, S Ranjan, T Ghosal, M Agrawal, A Ekbal Towards Open and Trustworthy Digital Societies: 23rd International …, 2021 | 16 | 2021 |
| DoS attacks prevention using IDS and data mining A Keshri, S Singh, M Agarwal, SK Nandiy 2016 International Conference on Accessibility to Digital World (ICADW), 87-92, 2016 | 15 | 2016 |
| Application of stochastic discrete event system framework for detection of induced low rate TCP attack FA Barbhuiya, M Agarwal, S Purwar, S Biswas, S Nandi Isa Transactions 58, 474-492, 2015 | 14 | 2015 |
| PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews PK Bharti, M Navlakha, M Agarwal, A Ekbal Language Resources and Evaluation 58 (4), 1291-1313, 2024 | 12 | 2024 |
| Application of novel hybrid machine learning techniques for particle Froude number estimation in sewer pipes S Kumar, B Kirar, M Agarwal, V Deshpande Natural Hazards 116 (2), 1823-1842, 2023 | 12 | 2023 |
| Predicting flow velocity in a vegetative alluvial channel using standalone and hybrid machine learning techniques S Kumar, B Kumar, V Deshpande, M Agarwal Expert Systems with Applications 232, 120885, 2023 | 11 | 2023 |
Sukumar NandiProfessor Indian Institute of Technology GuwahatiEmail yang diverifikasi di iitg.ac.in