• 802.11 Wireless Network
• Wi-Fi Security
• Discrete Event Modeling
• Application of ML/DL in inter-disciplinary areas

• Database
• Wireless Networks
• Computer Networks

Google Scholar (sorted by year) : https://scholar.google.com/citations?hl=en&user=6Rzu0kMAAAAJ&view_op=list_works&sortby=pubdate

1. Anmol Kumar, Gaurav Somani, and Mayank Agarwal, Comparing HAProxy Scheduling Algorithms During the DDoS Attacks, IEEE Networking Letters, April 2024,
2. Pradyumna Kumar Behera, Mayank Agarwal, Vishal Deshpande, and Bimlesh Kumar; Spectral Analysis of the Flows in Seepage Affected Threshold Alluvial Channels; Results in Engineering Journal; Jan 2024 [Impact Factor: 5] (Accepted)
3. Prabhat Kumar Bharti, Mayank Agrawal and Asif Ekbal, Please be Polite to Your Peers: A Multi-task Model for Assessing the Tone and Objectivity of Critiques of Peer Review Comments, Scientometrics Journal; Jan 2024 [Impact Factor: 3.8] (Accepted)
4. Deepti Shakya; Mayank Agarwal; Vishal Deshpande; Bimlesh Kumar, Closure to ""Estimating Particle Froude Number of Sewer Pipes by Boosting Machine-Learning Models"",  ASCE's Journal of Pipeline Systems - Engineering and Practice.  Oct 2023 [Impact Factor: 1.95]
5. Deepti Shakya; Vishal Deshpande; Manish Kumar Goyal; Mayank Agarwal, PM2.5 air pollution prediction through deep learning using meteorological, vehicular, and emission data: A case study of New Delhi, India, Journal of Cleaner Production. Oct 2023 Impact Factor: 11.07]
6. Divya Singh, Jimson Mathew; Mayank Agarwal; Mahesh Govind, DLIRIR: Deep Learning based Improved Reverse Image Retrieval, Engineering Applications of Artificial Intelligence,  July 2023  (Accepted for Publication). [Impact Factor: 8]. Aug 2023
7. Sanjit Kumar; Bimlesh Kumar; Vishal Deshpande; Mayank Agarwal, Predicting flow velocity in a vegetative alluvial channel using standalone and hybrid machine learning techniques,  Expert Systems with Applications, June 2023   [Impact Factor: 8.665].
8. Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agrawal and Asif Ekbal, PEERRec: An AI-based approach to Automatically Generate Recommendations and Predict Decisions in Peer Review, International Journal on Digital Libraries [Impact Factor: 0.43]
9. Prabhat Kumar Bharti, Meith Navlakha, Mayank Agarwal and Asif Ekbal, PolitePEER: Does Peer Review Hurt? A Dataset to Gauge Politeness Intensity in the Peer Reviews, Language Resources and Evaluation, Springer, [Accepted for Publication], April 2023 [Impact Factor: 1.83] .
10. Deepti Shakya; Vishal Deshpande; Bimlesh Kumar; Mayank Agarwal, Predicting Total Sediment Load Transport in Rivers using Regression Techniques, Extreme Learning and Deep Learning Models, Artificial Intelligence Review. Feb 2023  [Impact Factor: 9.588]
11. Sanjit Kumar; Manish Kumar Goyal; Vishal Deshpande; Mayank Agarwal, Estimation of Time Dependent Scour Depth around Circular Bridge Piers: Application of Ensemble Machine Learning Methods, Ocean Engineering. Jan 2023  [Impact Factor: 4.3].
12. Sanjit Kumar; Bablu Kirar; Vishal Deshpande; Mayank Agarwal, Application of novel hybrid machine learning techniques for particle Froude number estimation in sewer pipes,  Natural Hazards, Dec 2022  . [Impact Factor: 3.1]
13. Deepti Shakya; Mayank Agarwal; Vishal Deshpande; Bimlesh Kumar, Standalone and Ensemble-based Machine Learning Techniques for Particle Froude Number Prediction in a Sewer System , Neural Computing and Applications. March 2022
14. Deepti Shakya; Mayank Agarwal; Vishal Deshpande; Bimlesh Kumar, Estimating Particle Froude Number of Sewer Pipes by Boosting Machine-Learning Models, ASCE's Journal of Pipeline Systems - Engineering and Practice. March 2022
15. Madhu Lisha Pattanaik; Sanjit Kumar; Rajan Choudhary; Mayank Agarwal; Bimlesh Kumar, Predicting the abrasion loss of open-graded friction course mixes with EAF steel slag aggregates using machine learning algorithms, Construction and Building Materials , Jan 2022
16. N Neeraj, J Mathew, Mayank Agarwal, RK Behera, Long short-term memory-singular spectrum analysis-based model for electric load forecasting, Electrical Engineering 103 (2), 1067-1082, April 2021
17. Mayank Agarwal, V Deshpande, D Katoshevski, B Kumar, A novel Python module for statistical analysis of turbulence (P-SAT) in geophysical flows, Nature, Scientific Reports 11 (1), 1-20, Feb 2021
18. Mayank Agarwal, S Biswas, S Nandi, An Efficient Scheme to Detect Evil Twin Rogue Access Point Attack in 802.11 Wi-Fi Networks; International Journal of Wireless Information Networks, 2018
19. Mayank Agarwal, S Biswas, S Nandi, Discrete event system framework for fault diagnosis with measurement inconsistency: Case study of rogue DHCP attack, IEEE/CAA Journal of Automatica Sinica, 2017
20. Mayank Agarwal, D Pasumarthi, S Biswas, S Nandi, Machine learning approach for detection of flooding DoS attacks in 802.11 networks and attacker localization; International Journal of Machine Learning and Cybernetics, Springer, 2016.
21. Mayank Agarwal, S. Purwar, S. Nandi, S Biswas, Intrusion Detection System for PS-Poll DoS Attack in 802.11 Networks using Real Time Discrete Event System; IEEE/CAA Journal of Automatica Sinica, 2016
22. FA Barbhuiya, Mayank Agarwal, S Purwar, S Biswas, S Nandi; Application of stochastic discrete event system framework for detection of induced low rate TCP attack; ISA transactions 2015.
23. Mayank Agarwal, S Biswas, S Nandi, Advanced stealth man-in-the-middle attack in WPA2 encrypted Wi-Fi networks; IEEE Communications Letters, 2015.
24. D Shah, A Mangal, Mayank Agarwal, M Mehra, D Patel, Mitigating DoS Using Handlers for Global SOA; Journal of Algorithms & Computational Technology, 2010.

Conferences

1. Fawzia Omer Albasheer, Mayank Agarwal; Using Recursive Feature Elimination Feature Selection based Machine Learning Classifier for Attack Classification on UNSW-NB 15 dataset ; 9th International Conference For Convergence In Technology (2024), Pune, India. (Accepted)
2. Nikunj Pansari, Shourya Srivastava, Raghavendra Haibatti, Mayank Agarwal; Attack Classification using Machine Learning on UNSW-NB 15 dataset using XGBoost Feature Selection and Ablation Analysis; 9th International Conference For Convergence In Technology (2024), Pune, India. (Accepted)
3. Anmol Kumar, Mayank Agarwal, Preserving service availability under DDoS attack in micro-service based cloud infrastructure , 16th International Conference on Security of Information and Networks. November 20-21, 2023; Manipal University Jaipur, Rajasthan, India (Host) & Hasan Kalyoncu University, Gaziantep, Türkiye (Accepted)
4. Subrat Mohanty, Satendra Kumar, Mayank Agarwal, Enhancing Accuracy with Recursive Feature Selection using Multiple Machine Learning & Deep Learning Techniques on NSL-KDD Dataset, 2nd International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023), September 21-23, 2023 at BITS Pilani, K K Birla Goa Campus, India.
5. Sanjit Kumar, Mayank Agarwal, Vishal Deshpande,  Predict Total Sediment Load using Standalone and Ensemble Machine Learning Models, 2nd International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023), September 21-23, 2023 at BITS Pilani, K K Birla Goa Campus, India.
6. Sanjit Kumar, Mayank Agarwal, Vishal Deshpande, Estimation of particle Froude Number in Deposited Bed Condition using Hybrid Machine Learning Models, 2nd International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023), September 21-23, 2023 at BITS Pilani, K K Birla Goa Campus, India.
7. Subrat Mohanty, Mayank Agarwal, Vishal Deshpande, Recursive Feature Selection and Intrusion Classification in NSL-KDD Dataset using Multiple Machine Learning Methods, 2nd International Conference on Computing, Communication and Learning (COCOLE)-2023, National Institute of Technology, Warangal, Telangana, India, (Accepted for Publication), August 2023
8. Sofia Jamil, Mayank Agarwal, Fusion of Feature Selection Techniques and Machine learning Algorithms for Attack Classification on 802.11 Wi-Fi AWID Dataset, IEEE-GCON 2023, June 2023, IIT Guwahati, India, April 2023
9. Sanjit Kumar, Mayank Agarwal, Vishal Deshpande, Radial Basis Function Regression (RBFR), ARRBFR models for Estimation of Particle Froude Number in Sewer Pipes Under Deposited Conditions, 6th International Conference on Information Systems and Computer Networks (ISCON), March 2023, Mathura, India  [Link]
10. Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agrawal and Asif Ekbal, A Method for Automatically Estimating the Informativeness of Peer Reviews, International Conference on Natural Language Processing (ICON-2022), December 2022   [Link]
11. Mayank Agarwal, Detecting Flooding, Impersonation and Injection Attacks on AWID Dataset using ML based Methods, 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), Oct 2022, [Link]
12. Deepti Shakya, Vishal Deshpande, and Mayank Agarwal, A Deep Learning Based Model to Predict PM10 Concentration, 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), Oct 2022, [Link]
13. Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agrawal and Asif Ekbal, BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments, TPDL 2022:  2022 International Conference on Theory and Practice of Digital Libraries  (Accepted for Publication as Accelerating Innovation paper), July 2022   [Link]
14. Prabhat Kumar Bharti, Asheesh Kumar, Tirthankar Ghosal,  Mayank Agrawal, Asif Ekbal, Can a Machine Generate a Meta-Review? How far are we?, TSD 2022: 25th International Conference on Text, Speech and Dialogue , June 2022  [Link]
15. Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal, How Confident Was Your Reviewer? Estimating Reviewer Confidence From Peer Review Texts, DAS 2022: 15th IAPR International Workshop on Document Analysis Systems (Accepted for Publication), March 2022
16. Prabhat Kumar Bharti, Shashi Ranjan, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal, PEERAssist: Leveraging on Paper-Review Interactions to Predict Peer Review Decisions, International Conference on Asian Digital Libraries, Dec 2021
17. Mayank Agarwal, DES Based IDS for detection Minimal De-authentication DoS Attack in 802.11 Wi-Fi Networks; IEEE ANTS - IEEE International Conference on Advanced Networks and Telecommunications Systems, Dec 2021
18. Sanjit Kumar, Mayank Agarwal, Vishal Deshpande, Manish Kumar Goyal, Estimation of time-dependent pier scour depth using Ensemble and Boosting based Data Driven Approaches, HYDRO 2021- International Conference (Hydraulics, Water Resources and Coastal Engineering) (23-25 December 2021) SVNIT Surat
19. Mayank Agarwal, Rogue Twin Attack Detection: A Discrete Event System Paradigm Approach; 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
20. M Agarwal, R Puzis, J Haj-Yahya, P Zilberman and Y Elovici, Anti-forensic = Suspicious: Detection of Stealthy Malware that Hides its Network Traffic; 33rd IFIP TC-11 SEC 2018 International Conference on Information Security and Privacy Protection, 2018
21. A Bhandari, M Agarwal, S Biswas, S Nandi, Intrusion detection system for identification of throughput degradation attack on TCP; Communication (NCC), 2016
22. Katiyar, Supreeti and Priya, Sharma and Agarwal, Mayank and Nandi, Sukumar, Differential cryptanalysis of Substitution Permutation network, IEEE -International Conference on Accessibility to Digital World (ICADW), 2016 ,
23. Keshri, Anand and Singh, Sukhpal and Agarwal, Mayank and Nandiy, Sunit Kumar, DoS attacks prevention using IDS and data mining, IEEE -International Conference on Accessibility to Digital World (ICADW), 2016 ,
24. Singh, Anoop Kumar and Kumar, Sandeep and Agarwal, Mayank and Nandi, Sukumar, Survey and analysis of Modern Authentication system, IEEE -International Conference on Accessibility to Digital World (ICADW), 2016 ,
25. Kochar, Vrinda and Goswami, Dheeraj Puri and Agarwal, Mayank and Nandi, Sukumar, Contrast various tests for primality, IEEE -International Conference on Accessibility to Digital World (ICADW), 2016 ,
26. M Agarwal, S Biswas, S Nandi, Detection of De-Authentication DoS Attacks in Wi-Fi Networks: A Machine Learning Approach; IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2015
27. M Agarwal, S Biswas, S Nandi, I2-diagnosability framework for detection of Advanced Stealth Man in the Middle attack in Wi-Fi networks; 23rd Mediterranean Conference on Control and Automation (MED), 2015
28. M Agarwal, S Biswas, S Nandi, Detection of De-authentication Denial of Service attack in 802.11 networks; Annual India Conference (INDICON), 2013
29. M Agarwal, M Mehra, R Pawar, D Shah, Secure authentication using dynamic virtual keyboard layout; Proceedings of the International Conference & Workshop on Emerging Trends, 2011
30. M Mehra, M Agarwal, R Pawar, D Shah, Mitigating denial of service attack using CAPTCHA mechanism; Proceedings of the International Conference & Workshop on Emerging Trends, 2011
31. D Shah, M Agarwal, M Mehra, A Mangal, Global SOA: RSS-based web services repository and ranking; Internet and Web Applications and Services (ICIW), 2010
32. D Shah, A Mangal, M Agarwal, M Mehra, T Dave, D Patel, Protecting Global SOA from DoS and Other Security Threats; Advances in Information Security and Assurance, 2009