| 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 | 63 | 2016 |
| 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 | 47 | 2015 |
| 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 | 45 | 2018 |
| 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 |
| 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 | 37 | 2017 |
| 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 | 36 | 2015 |
| 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 | 34 | 2013 |
| 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 | 29 | 2021 |
| 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 |
| 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 | 12 | 2016 |
| 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 | 11 | 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 | 11 | 2021 |
| 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 | 8 | 2022 |
| How confident was your reviewer? estimating reviewer confidence from peer review texts PK Bharti, T Ghosal, M Agrawal, A Ekbal International workshop on document analysis systems, 126-139, 2022 | 8 | 2022 |
| 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 | 7 | 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 | 6 | 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 | 6 | 2023 |
| BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments PK Bharti, T Ghosal, M Agarwal, A Ekbal International conference on theory and practice of digital libraries, 500-505, 2022 | 6 | 2022 |
| Can a Machine Generate a Meta-Review? How Far Are We? PK Bharti, A Kumar, T Ghosal, M Agrawal, A Ekbal International Conference on Text, Speech, and Dialogue, 275-287, 2022 | 6 | 2022 |
| Predicting the abrasion loss of open-graded friction course mixes with EAF steel slag aggregates using machine learning algorithms ML Pattanaik, S Kumar, R Choudhary, M Agarwal, B Kumar Construction and Building Materials 321, 126408, 2022 | 5 | 2022 |
Sukumar NandiProfessor Indian Institute of Technology GuwahatiVerified email at iitg.ac.in
