M. R. Gauthama Raman
Orcid: 0000-0002-5285-9330
According to our database1,
M. R. Gauthama Raman
authored at least 20 papers
between 2016 and 2022.
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Bibliography
2022
A Hybrid Physics-Based Data-Driven Framework for Anomaly Detection in Industrial Control Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022
AICrit: A unified framework for real-time anomaly detection in water treatment plants.
J. Inf. Secur. Appl., 2022
Design-knowledge in learning plant dynamics for detecting process anomalies in water treatment plants.
Comput. Secur., 2022
2021
Machine learning for intrusion detection in industrial control systems: challenges and lessons from experimental evaluation.
Cybersecur., 2021
PCAT: PLC Command Analysis Tool for automatic incidence response in Water Treatment Plants.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Int. J. Crit. Infrastructure Prot., 2020
Deep autoencoders as anomaly detectors: Method and case study in a distributed water treatment plant.
Comput. Secur., 2020
IBGSS: An Improved Binary Gravitational Search Algorithm based search strategy for QoS and ranking prediction in cloud environments.
Appl. Soft Comput., 2020
An efficient intrusion detection technique based on support vector machine and improved binary gravitational search algorithm.
Artif. Intell. Rev., 2020
Challenges in Machine Learning based approaches for Real-Time Anomaly Detection in Industrial Control Systems.
Proceedings of the 6th ACM Workshop on Cyber-Physical System Security, 2020
2019
An improved rough set approach for optimal trust measure parameter selection in cloud environments.
Soft Comput., 2019
A hybrid approach using rough set theory and hypergraph for feature selection on high-dimensional medical datasets.
Soft Comput., 2019
An Improved Rough Set Theory based Feature Selection Approach for Intrusion Detection in SCADA Systems.
J. Intell. Fuzzy Syst., 2019
Proceedings of the Applications and Techniques in Information Security, 2019
2018
An improved robust heteroscedastic probabilistic neural network based trust prediction approach for cloud service selection.
Neural Networks, 2018
Future Gener. Comput. Syst., 2018
2017
A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems.
Neural Networks, 2017
An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine.
Knowl. Based Syst., 2017
Development of Rough Set - Hypergraph Technique for Key Feature Identification in Intrusion Detection Systems.
Comput. Electr. Eng., 2017
2016
J. Medical Syst., 2016