Credit card fraud detection: A fusion approach using Dempster–Shafer theory and Bayesian learning S Panigrahi, A Kundu, S Sural, AK Majumdar Information Fusion 10 (4), 354-363, 2009 | 441 | 2009 |
Credit card fraud detection: a hybrid approach using fuzzy clustering & neural network TK Behera, S Panigrahi 2015 second international conference on advances in computing and …, 2015 | 145 | 2015 |
Blast-ssaha hybridization for credit card fraud detection A Kundu, S Panigrahi, S Sural, AK Majumdar IEEE transactions on dependable and Secure Computing 6 (4), 309-315, 2009 | 117 | 2009 |
Use of optimized Fuzzy C-Means clustering and supervised classifiers for automobile insurance fraud detection S Subudhi, S Panigrahi Journal of King Saud University-Computer and Information Sciences 32 (5 …, 2020 | 116 | 2020 |
SQLiGoT: Detecting SQL injection attacks using graph of tokens and SVM D Kar, S Panigrahi, S Sundararajan Computers & Security 60, 206-225, 2016 | 100 | 2016 |
Quarter-sphere support vector machine for fraud detection in mobile telecommunication networks S Subudhi, S Panigrahi Procedia Computer Science 48, 353-359, 2015 | 50 | 2015 |
Prevention of SQL Injection attack using query transformation and hashing D Kar, S Panigrahi 2013 3rd IEEE International Advance Computing Conference (IACC), 1317-1323, 2013 | 48 | 2013 |
Two-stage database intrusion detection by combining multiple evidence and belief update S Panigrahi, S Sural, AK Majumdar Information Systems Frontiers 15, 35-53, 2013 | 38 | 2013 |
SQLiDDS: SQL injection detection using query transformation and document similarity D Kar, S Panigrahi, S Sundararajan Distributed Computing and Internet Technology: 11th International Conference …, 2015 | 37 | 2015 |
A hybrid multi-criteria decision making algorithm for cloud service selection M Saha, SK Panda, S Panigrahi International Journal of Information Technology 13 (4), 1417-1422, 2021 | 33 | 2021 |
Effect of class imbalanceness in detecting automobile insurance fraud S Subudhi, S Panigrahi 2018 2nd International Conference on Data Science and Business Analytics …, 2018 | 32 | 2018 |
Application of OPTICS and ensemble learning for database intrusion detection S Subudhi, S Panigrahi Journal of king saud university-computer and information sciences 34 (3 …, 2022 | 29 | 2022 |
Use of dempster-shafer theory and Bayesian inferencing for fraud detection in mobile communication networks S Panigrahi, A Kundu, S Sural, AK Majumdar Information Security and Privacy: 12th Australasian Conference, ACISP 2007 …, 2007 | 28 | 2007 |
Detection of SQL injection attacks using Hidden Markov Model D Kar, K Agarwal, AK Sahoo, S Panigrahi 2016 IEEE International Conference on Engineering and Technology (ICETECH), 1-6, 2016 | 24 | 2016 |
Use of fuzzy clustering and support vector machine for detecting fraud in mobile telecommunication networks S Subudhi, S Panigrahi International Journal of Security and Networks 11 (1-2), 3-11, 2016 | 24 | 2016 |
Credit card fraud detection using a neuro-fuzzy expert system TK Behera, S Panigrahi Computational Intelligence in Data Mining: Proceedings of the International …, 2017 | 22 | 2017 |
Detection of intrusive activity in databases by combining multiple evidences and belief update S Panigrahi, S Sural, AK Majumdar 2009 IEEE Symposium on Computational Intelligence in Cyber Security, 83-90, 2009 | 17 | 2009 |
Centralised cum sub‐centralised scheme for multi‐event coverage and optimum camera activation in wireless multimedia sensor networks SBB Priyadarshini, S Panigrahi Iet networks 4 (6), 314-328, 2015 | 16 | 2015 |
Learning to detect SQLIA using node centrality with feature selection D Kar, AK Sahoo, K Agarwal, S Panigrahi, M Das 2016 International conference on computing, analytics and security trends …, 2016 | 13 | 2016 |
Detection of automobile insurance fraud using feature selection and data mining techniques S Subudhi, S Panigrahi International Journal of Rough Sets and Data Analysis (IJRSDA) 5 (3), 1-20, 2018 | 11 | 2018 |