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ORCIDM. R. Gauthama Raman
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Journal Articles
- 2022
[j17]Dillon Cheong Lien Sung, M. R. Gauthama Raman
, Aditya P. Mathur:
Design-knowledge in learning plant dynamics for detecting process anomalies in water treatment plants. Comput. Secur. 113: 102532 (2022)- [j16]M. R. Gauthama Raman, Aditya P. Mathur:
AICrit: A unified framework for real-time anomaly detection in water treatment plants. J. Inf. Secur. Appl. 64: 103046 (2022) - [j15]M. R. Gauthama Raman, Aditya P. Mathur:
A Hybrid Physics-Based Data-Driven Framework for Anomaly Detection in Industrial Control Systems. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 6003-6014 (2022) - 2021
- [j14]M. R. Gauthama Raman, Chuadhry Mujeeb Ahmed, Aditya Mathur:
Machine learning for intrusion detection in industrial control systems: challenges and lessons from experimental evaluation. Cybersecur. 4(1): 27 (2021) - 2020
- [j13]M. R. Gauthama Raman, Nivethitha Somu, Sahruday Jagarapu, Tina Manghnani, Thirumaran Selvam, Kannan Krithivasan, V. S. Shankar Sriram:
An efficient intrusion detection technique based on support vector machine and improved binary gravitational search algorithm. Artif. Intell. Rev. 53(5): 3255-3286 (2020) - [j12]Nivethitha Somu, M. R. Gauthama Raman, Akshya Kaveri, Akshay Rahul K., Kannan Krithivasan, V. S. Shankar Sriram:
IBGSS: An Improved Binary Gravitational Search Algorithm based search strategy for QoS and ranking prediction in cloud environments. Appl. Soft Comput. 88: 105945 (2020) - [j11]M. R. Gauthama Raman, Wenjie Dong, Aditya Mathur:
Deep autoencoders as anomaly detectors: Method and case study in a distributed water treatment plant. Comput. Secur. 99: 102055 (2020) - [j10]M. R. Gauthama Raman, Nivethitha Somu, Aditya P. Mathur:
A multilayer perceptron model for anomaly detection in water treatment plants. Int. J. Crit. Infrastructure Prot. 31: 100393 (2020) - 2019
- [j9]S. Priyanga, M. R. Gauthama Raman, Sujeet S. Jagtap, N. Aswin, Kirthivasan Kannan, V. S. Shankar Sriram:
An Improved Rough Set Theory based Feature Selection Approach for Intrusion Detection in SCADA Systems. J. Intell. Fuzzy Syst. 36(5): 3993-4003 (2019) - [j8]Nivethitha Somu, M. R. Gauthama Raman, Obulaporam Gireesha, Krithivasan Kannan, V. S. Shankar Sriram:
An improved rough set approach for optimal trust measure parameter selection in cloud environments. Soft Comput. 23(22): 11979-11999 (2019) - [j7]M. R. Gauthama Raman, Nivethitha Somu, Krithivasan Kannan, V. S. Shankar Sriram:
A hybrid approach using rough set theory and hypergraph for feature selection on high-dimensional medical datasets. Soft Comput. 23(23): 12655-12672 (2019) - 2018
- [j6]Nivethitha Somu, M. R. Gauthama Raman, Kirthivasan Kannan, V. S. Shankar Sriram:
A trust centric optimal service ranking approach for cloud service selection. Future Gener. Comput. Syst. 86: 234-252 (2018) - [j5]Nivethitha Somu, M. R. Gauthama Raman, V. Kalpana, Kirthivasan Kannan, V. S. Shankar Sriram:
An improved robust heteroscedastic probabilistic neural network based trust prediction approach for cloud service selection. Neural Networks 108: 339-354 (2018) - 2017
- [j4]M. R. Gauthama Raman, Kirthivasan Kannan, V. S. Shankar Sriram:
Development of Rough Set - Hypergraph Technique for Key Feature Identification in Intrusion Detection Systems. Comput. Electr. Eng. 59: 189-200 (2017) - [j3]M. R. Gauthama Raman, Nivethitha Somu, Kirthivasan Kannan, Ramiro Liscano, V. S. Shankar Sriram:
An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine. Knowl. Based Syst. 134: 1-12 (2017) - [j2]M. R. Gauthama Raman, Nivethitha Somu, Kirthivasan Kannan, V. S. Shankar Sriram:
A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems. Neural Networks 92: 89-97 (2017) - 2016
- [j1]Nivethitha Somu, M. R. Gauthama Raman, Kirthivasan Kannan, V. S. Shankar Sriram:
Hypergraph Based Feature Selection Technique for Medical Diagnosis. J. Medical Syst. 40(11): 239:1-239:16 (2016)
Conference and Workshop Papers
- 2024
- [c4]S. Abisheg, M. R. Gauthama Raman, Aditya P. Mathur:
Adaptive Data-Driven LSTM Model for Sensor Drift Detection in Water Utilities. ATIS 2024: 218-228 - 2021
- [c3]Siddhant Shrivastava, M. R. Gauthama Raman, Aditya Mathur:
PCAT: PLC Command Analysis Tool for automatic incidence response in Water Treatment Plants. IEEE BigData 2021: 2151-2159 - 2020
- [c2]Chuadhry Mujeeb Ahmed, M. R. Gauthama Raman, Aditya P. Mathur:
Challenges in Machine Learning based approaches for Real-Time Anomaly Detection in Industrial Control Systems. CPSS@AsiaCCS 2020: 23-29 - 2019
- [c1]M. R. Gauthama Raman, Nivethitha Somu, Aditya P. Mathur:
Anomaly Detection in Critical Infrastructure Using Probabilistic Neural Network. ATIS 2019: 129-141
Coauthor Index
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