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all journal conf

Oct 30th, 2022
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  1. 2009
  2. 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]
  3. 2010
  4. 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]
  5. 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]
  6.  
  7. 2011
  8. 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]
  9. 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]
  10.  
  11. 2012
  12. 2013
  13.  
  14. 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]
  15.  
  16. 2014
  17. 2015
  18. 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]
  19.  
  20. 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]
  21. 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]
  22.  
  23. 2016
  24. 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]
  25. 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]
  26.  
  27. 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]
  28. 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]
  29. 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]
  30. 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]
  31.  
  32. 16. A Bhandari, M Agarwal, S Biswas, S Nandi, Intrusion detection system for identification of throughput degradation attack on TCP; Communication (NCC), 2016 [Link]
  33.  
  34. 2017
  35. 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]
  36.  
  37. 2018
  38.  
  39. 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]
  40.  
  41. 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]
  42.  
  43. 2019
  44. 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]
  45.  
  46. 21. Mayank Agarwal, Rogue Twin Attack Detection: A Discrete Event System Paradigm Approach; 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC). [Link]
  47.  
  48. 2020
  49. 2021
  50. 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]
  51. 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]
  52. 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]
  53. 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
  54. 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
  55. 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
  56.  
  57. 2022
  58. 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]
  59. 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]
  60. 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]
  61.  
  62. 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
  63. 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
  64. 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]
  65. 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
  66. 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]
  67.  
  68. Journals
  69. Conferences
  70.  
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