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- 2009
- 1. 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 [Link]
- 2010
- 2. D Shah, A Mangal, Mayank Agarwal, M Mehra, D Patel, Mitigating DoS Using Handlers for Global SOA; Journal of Algorithms & Computational Technology, 2010. [Link] [Impact Factor: 1.64]
- 3. 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 [Link]
- 2011
- 4. 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 [Link]
- 5. 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 [Link]
- 2012
- 2013
- 6. M Agarwal, S Biswas, S Nandi, Detection of De-authentication Denial of Service attack in 802.11 networks; Annual India Conference (INDICON), 2013 [Link]
- 2014
- 2015
- 7. Mayank Agarwal, S Biswas, S Nandi, Advanced stealth man-in-the-middle attack in WPA2 encrypted Wi-Fi networks; IEEE Communications Letters, 2015. [Link] [Impact Factor: 3.4]
- 8. 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 [Link]
- 9. 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 [Link]
- 2016
- 10. 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. [Link] [Impact Factor: 4.01]
- 11. 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 [Link] [Impact Factor: 6.17]
- 12. 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 , [Link]
- 13. 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 , [Link]
- 14. 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 , [Link]
- 15. 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 , [Link]
- 16. A Bhandari, M Agarwal, S Biswas, S Nandi, Intrusion detection system for identification of throughput degradation attack on TCP; Communication (NCC), 2016 [Link]
- 2017
- 17. 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 [Link] [Impact Factor: 6.17]
- 2018
- 18. 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 [Link]
- 19. 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 [Link] [Impact Factor: 1.47]
- 2019
- 20. 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. [Link] [Impact Factor: 5.48]
- 21. Mayank Agarwal, Rogue Twin Attack Detection: A Discrete Event System Paradigm Approach; 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC). [Link]
- 2020
- 2021
- 22. 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 [Link] [Impact Factor: 1.80]
- 23. 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 [Link] [Impact Factor: 4.37]
- 24. 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 [Link]
- 25. 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
- 26. Deepti Shakya, Mayank Agarwal, Vishal Deshpande and Bimlesh Kumar, Data Driven approaches for Estimation of Particle Froude Number in a Sewer System, HYDRO 2021- International Conference (Hydraulics, Water Resources and Coastal Engineering) (23-25 December 2021) SVNIT Surat
- 27. 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
- 2022
- 28. 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. April 2022 [Link]. [Impact Factor: 5.60]
- 29. 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 [Link] [Impact Factor: 1.95]
- 30. 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 [Link] [Impact Factor: 6.141]
- 31. 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
- 32. Deepti Shakya, Vishal Deshpande, and Mayank Agarwal, A Deep Learning Based Models to Predict PM10 Concentration, 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), Oct 2022
- 33. 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]
- 34. 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 (Accepted for Publication), June 2022
- 35. 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, March 2022 [Link]
- Journals
- Conferences
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