M. R. Gauthama Raman

22 papers Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Assessing the Effectiveness of PCAT in Avoiding Process Anomalies in Water Treatment Plants.
IEEE Trans. Ind. Informatics
M. R. Gauthama Raman, Siddhant Shrivastava, Aditya P. Mathur
2024 — conf
Adaptive Data-Driven LSTM Model for Sensor Drift Detection in Water Utilities.
ATIS
S. Abisheg, M. R. Gauthama Raman, Aditya P. Mathur
2022 J jnl
A Hybrid Physics-Based Data-Driven Framework for Anomaly Detection in Industrial Control Systems.
IEEE Trans. Syst. Man Cybern. Syst.
M. R. Gauthama Raman, Aditya P. Mathur
2022 J jnl
AICrit: A unified framework for real-time anomaly detection in water treatment plants.
J. Inf. Secur. Appl.
M. R. Gauthama Raman, Aditya P. Mathur
2022 J jnl
Design-knowledge in learning plant dynamics for detecting process anomalies in water treatment plants.
Comput. Secur.
Dillon Cheong Lien Sung, M. R. Gauthama Raman, Aditya P. Mathur
2021 J jnl
Machine learning for intrusion detection in industrial control systems: challenges and lessons from experimental evaluation.
Cybersecur.
M. R. Gauthama Raman, Chuadhry Mujeeb Ahmed, Aditya Mathur
2021 — conf
PCAT: PLC Command Analysis Tool for automatic incidence response in Water Treatment Plants.
IEEE BigData
Siddhant Shrivastava, M. R. Gauthama Raman, Aditya Mathur
2020 J jnl
A multilayer perceptron model for anomaly detection in water treatment plants.
Int. J. Crit. Infrastructure Prot.
M. R. Gauthama Raman, Nivethitha Somu, Aditya P. Mathur
2020 J jnl
An efficient intrusion detection technique based on support vector machine and improved binary gravitational search algorithm.
Artif. Intell. Rev.
M. R. Gauthama Raman, Nivethitha Somu, Sahruday Jagarapu, Tina Manghnani, Thirumaran Selvam, Kannan Krithivasan, V. S. Shankar Sriram
2020 — conf
Challenges in Machine Learning based approaches for Real-Time Anomaly Detection in Industrial Control Systems.
CPSS@AsiaCCS
Chuadhry Mujeeb Ahmed, M. R. Gauthama Raman, Aditya P. Mathur
2020 J jnl
Deep autoencoders as anomaly detectors: Method and case study in a distributed water treatment plant.
Comput. Secur.
M. R. Gauthama Raman, Wenjie Dong, Aditya Mathur
2020 J jnl
IBGSS: An Improved Binary Gravitational Search Algorithm based search strategy for QoS and ranking prediction in cloud environments.
Appl. Soft Comput.
Nivethitha Somu, M. R. Gauthama Raman, Akshya Kaveri, Akshay Rahul K., Kannan Krithivasan, V. S. Shankar Sriram
2019 J jnl
A hybrid approach using rough set theory and hypergraph for feature selection on high-dimensional medical datasets.
Soft Comput.
M. R. Gauthama Raman, Nivethitha Somu, Krithivasan Kannan, V. S. Shankar Sriram
2019 J jnl
An Improved Rough Set Theory based Feature Selection Approach for Intrusion Detection in SCADA Systems.
J. Intell. Fuzzy Syst.
S. Priyanga, M. R. Gauthama Raman, Sujeet S. Jagtap, N. Aswin, Kirthivasan Kannan, V. S. Shankar Sriram
2019 J jnl
An improved rough set approach for optimal trust measure parameter selection in cloud environments.
Soft Comput.
Nivethitha Somu, M. R. Gauthama Raman, Obulaporam Gireesha, Krithivasan Kannan, V. S. Shankar Sriram
2019 — conf
Anomaly Detection in Critical Infrastructure Using Probabilistic Neural Network.
ATIS
M. R. Gauthama Raman, Nivethitha Somu, Aditya P. Mathur
2018 J jnl
A trust centric optimal service ranking approach for cloud service selection.
Future Gener. Comput. Syst.
Nivethitha Somu, M. R. Gauthama Raman, Kirthivasan Kannan, V. S. Shankar Sriram
2018 J jnl
An improved robust heteroscedastic probabilistic neural network based trust prediction approach for cloud service selection.
Neural Networks
Nivethitha Somu, M. R. Gauthama Raman, V. Kalpana, Kirthivasan Kannan, V. S. Shankar Sriram
2017 J jnl
A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems.
Neural Networks
M. R. Gauthama Raman, Nivethitha Somu, Kirthivasan Kannan, V. S. Shankar Sriram
2017 J jnl
An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine.
Knowl. Based Syst.
M. R. Gauthama Raman, Nivethitha Somu, Kirthivasan Kannan, Ramiro Liscano, V. S. Shankar Sriram
2017 J jnl
Development of Rough Set - Hypergraph Technique for Key Feature Identification in Intrusion Detection Systems.
Comput. Electr. Eng.
M. R. Gauthama Raman, Kirthivasan Kannan, V. S. Shankar Sriram
2016 J jnl
Hypergraph Based Feature Selection Technique for Medical Diagnosis.
J. Medical Syst.
Nivethitha Somu, M. R. Gauthama Raman, Kirthivasan Kannan, V. S. Shankar Sriram