Suvasini Panigrahi
According to our database1,
Suvasini Panigrahi
authored at least 29 papers
between 2007 and 2024.
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Bibliography
2024
A semi-supervised Anti-Fraud model based on integrated XGBoost and BiGRU with self-attention network: an application to internet loan fraud detection.
Multim. Tools Appl., 2024
2023
An efficient composite cloud service model using multi-criteria decision-making techniques.
J. Supercomput., May, 2023
Int. J. Comput. Sci. Eng., 2023
2022
J. King Saud Univ. Comput. Inf. Sci., 2022
Rule-based database intrusion detection using coactive artificial neuro-fuzzy inference system and genetic algorithm.
Int. J. Bus. Intell. Data Min., 2022
2021
Role-Based Profiling Using Fuzzy Adaptive Resonance Theory for Securing Database Systems.
Int. J. Appl. Metaheuristic Comput., 2021
2020
Use of optimized Fuzzy C-Means clustering and supervised classifiers for automobile insurance fraud detection.
J. King Saud Univ. Comput. Inf. Sci., 2020
Two-Stage Automobile Insurance Fraud Detection by Using Optimized Fuzzy C-Means Clustering and Supervised Learning.
Int. J. Inf. Secur. Priv., 2020
2018
A hybrid mobile call fraud detection model using optimized fuzzy C-means clustering and group method of data handling-based network.
Vietnam. J. Comput. Sci., 2018
Detection of Automobile Insurance Fraud Using Feature Selection and Data Mining Techniques.
Int. J. Rough Sets Data Anal., 2018
Creating More Efficient Distributed Cameras: A Distributed Multievent Ensnaring Scheme Based on Scalar Leader Determination.
IEEE Consumer Electron. Mag., 2018
2017
A Distributed Scalar Controller Selection Scheme for Redundant Data Elimination in Sensor Networks.
Int. J. Knowl. Discov. Bioinform., 2017
A Distributed Approach Based on Hierarchical Scalar Leader Selection for Enhanced Event Coverage in Wireless Multimedia Sensor Networks.
Proceedings of the Distributed Computing and Internet Technology, 2017
2016
J. Comput. Secur., 2016
Use of fuzzy clustering and support vector machine for detecting fraud in mobile telecommunication networks.
Int. J. Secur. Networks, 2016
Detection of Mobile Phone Fraud Using Possibilistic Fuzzy C-Means Clustering and Hidden Markov Model.
Int. J. Synth. Emot., 2016
Comput. Secur., 2016
A Distributed Approach Based on Maximal Far-Flung Scalar Premier Selection for Camera Actuation.
Proceedings of the Distributed Computing and Internet Technology, 2016
Redundant Data Minimization Using Minimal Mean Distant Scalar Leader Selection for Event Driven Camera Actuation.
Proceedings of the 2016 International Conference on Information Technology, 2016
A Distributed Scheme Based on Minimum Camera Actuation Employing Concentric Hexagonal Scalar Premier Selection for Data Redundancy Minimization.
Proceedings of the 2016 International Conference on Information Technology, 2016
2015
A new approach to intrusion detection in databases by using artificial neuro fuzzy inference system.
Int. J. Reason. based Intell. Syst., 2015
Centralised cum sub-centralised scheme for multi-event coverage and optimum camera activation in wireless multimedia sensor networks.
IET Networks, 2015
Proceedings of the Distributed Computing and Internet Technology, 2015
2013
Two-stage database intrusion detection by combining multiple evidence and belief update.
Inf. Syst. Frontiers, 2013
2009
IEEE Trans. Dependable Secur. Comput., 2009
Credit card fraud detection: A fusion approach using Dempster-Shafer theory and Bayesian learning.
Inf. Fusion, 2009
Proceedings of the Information Security, 12th International Conference, 2009
Detection of intrusive activity in databases by combining multiple evidences and belief update.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Cyber Security, 2009
2007
Use of Dempster-Shafer Theory and Bayesian Inferencing for Fraud Detection in Mobile Communication Networks.
Proceedings of the Information Security and Privacy, 12th Australasian Conference, 2007