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Mayank Agarwal
Mayank Agarwal
Assistant Professor, IIT Patna
Adresse e-mail validée de iitp.ac.in - Page d'accueil
Titre
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Année
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
652016
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
532018
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
512015
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
45*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
432017
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
402022
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
402015
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
372021
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
352013
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
312023
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
252023
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
192023
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
172022
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
152022
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
152021
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
142016
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
142015
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
112024
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
112023
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
112023
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