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ORCIDV. S. Shankar Sriram
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2020 – today
- 2024
[j30]P. Lavanya
, Anila Glory H., V. S. Shankar Sriram:
Mitigating Insider Threat: A Neural Network Approach for Enhanced Security. IEEE Access 12: 73752-73768 (2024)- [j29]Sujeet S. Jagtap, V. S. Shankar Sriram, Ketan Kotecha, V. Subramaniyaswamy:
Securing Industrial Control Systems From Cyber-Attacks: A Stacked Neural-Network-Based Approach. IEEE Consumer Electron. Mag. 13(1): 30-38 (2024) - [c3]R. Sivaraman, D. Muralidaran, Rajappa Muthaiah, V. S. Shankar Sriram:
Characteristic Exploitation of Programmable Delay Line Influenced Oscillator Circuit as Hardware Security Primitive. VLSID 2024: 480-485 - 2022
- [j28]Obulaporam Gireesha, A. B. Kamalesh, Kannan Krithivasan, V. S. Shankar Sriram:
A Fuzzy-Multi Attribute Decision Making approach for efficient service selection in cloud environments. Expert Syst. Appl. 206: 117526 (2022) - 2021
- [j27]Sujeet S. Jagtap, V. S. Shankar Sriram, V. Subramaniyaswamy:
A hypergraph based Kohonen map for detecting intrusions over cyber-physical systems traffic. Future Gener. Comput. Syst. 119: 84-109 (2021) - [j26]V. Meena, N. Sasikaladevi, T. Suriya Praba, V. S. Shankar Sriram:
Trust Enforced Cloud Service Composition Based on Teaching-Learning-Based Optimization - STORM. J. Circuits Syst. Comput. 30(16): 2150293:1-2150293:25 (2021) - [j25]Anila Glory H., Vigneswaran C., Sujeet S. Jagtap, R. Shruthi, G. Hariharan, V. S. Shankar Sriram:
AHW-BGOA-DNN: a novel deep learning model for epileptic seizure detection. Neural Comput. Appl. 33(11): 6065-6093 (2021) - [c2]Anila Glory H., S. Meghana, J. S. Kesav Kumar, V. S. Shankar Sriram:
Stacked Dark COVID-Net: A Multi-class Multi-label Classification Approach for Diagnosing COVID-19 Using Chest X-Ray Images. RTIP2R 2021: 61-75 - 2020
- [j24]Subramanyan Kamakshi, V. S. Shankar Sriram:
Modularity based mobility aware community detection algorithm for broadcast storm mitigation in VANETs. Ad Hoc Networks 104: 102161 (2020) - [j23]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) - [j22]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) - [j21]Obulaporam Gireesha, Nivethitha Somu, Kannan Krithivasan, V. S. Shankar Sriram:
IIVIFS-WASPAS: An integrated Multi-Criteria Decision-Making perspective for cloud service provider selection. Future Gener. Comput. Syst. 103: 91-110 (2020) - [j20]V. Meena, Obulaporam Gireesha, Kannan Krithivasan, V. S. Shankar Sriram:
Fuzzy simplified swarm optimization for multisite computational offloading in mobile cloud computing. J. Intell. Fuzzy Syst. 39(6): 8285-8297 (2020) - [j19]Anila Glory H., Vigneswaran C., V. S. Shankar Sriram:
Unsupervised bin-wise pre-training: A fusion of information theory and hypergraph. Knowl. Based Syst. 195: 105650 (2020) - [j18]Saikishor Jangiti, V. S. Shankar Sriram:
EMC2: Energy-efficient and multi-resource- fairness virtual machine consolidation in cloud data centres. Sustain. Comput. Informatics Syst. 27: 100414 (2020)
2010 – 2019
- 2019
- [j17]Saikishor Jangiti, V. Subramaniyaswamy, V. S. Shankar Sriram:
Bulk-bin-packing based migration management of reserved virtual machine requests for green cloud computing. EAI Endorsed Trans. Energy Web 6(24): e2 (2019) - [j16]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) - [j15]Saikishor Jangiti, E. Sri Ram, Logesh Ravi, V. S. Shankar Sriram:
Scalable hybrid and ensemble heuristics for economic virtual resource allocation in cloud and fog cyber-physical systems. J. Intell. Fuzzy Syst. 36(5): 4519-4529 (2019) - [j14]Subramanyan Kamakshi, V. S. Shankar Sriram:
Plummeting Broadcast Storm Problem in Highways by Clustering Vehicles Using Dominating Set and Set Cover. Sensors 19(9): 2191 (2019) - [j13]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) - [j12]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) - [c1]Sujeet S. Jagtap, V. S. Shankar Sriram:
Subtree Hypergraph-Based Attack Detection Model for Signature Matching over SCADA HMI. ATIS 2019: 173-184 - [e1]V. S. Shankar Sriram, V. Subramaniyaswamy, N. Sasikaladevi, Leo Zhang, Lynn Batten, Gang Li:
Applications and Techniques in Information Security - 10th International Conference, ATIS 2019, Thanjavur, India, November 22-24, 2019, Proceedings. Communications in Computer and Information Science 1116, Springer 2019, ISBN 978-981-15-0870-7 [contents] - 2018
- [j11]Saikishor Jangiti, V. S. Shankar Sriram:
Scalable and direct vector bin-packing heuristic based on residual resource ratios for virtual machine placement in cloud data centers. Comput. Electr. Eng. 68: 44-61 (2018) - [j10]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) - [j9]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
- [j8]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) - [j7]Nivethitha Somu, Kirthivasan Kannan, V. S. Shankar Sriram:
A computational model for ranking cloud service providers using hypergraph based techniques. Future Gener. Comput. Syst. 68: 14-30 (2017) - [j6]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) - [j5]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) - [j4]Nivethitha Somu, Kirthivasan Kannan, V. S. Shankar Sriram:
A rough set-based hypergraph trust measure parameter selection technique for cloud service selection. J. Supercomput. 73(10): 4535-4559 (2017) - 2016
- [j3]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) - 2015
- [j2]D. Marudhadevi, V. Neelaya Dhatchayani, V. S. Shankar Sriram:
A Trust Evaluation Model for Cloud Computing Using Service Level Agreement. Comput. J. 58(10): 2225-2232 (2015) - 2014
- [j1]V. Neelaya Dhatchayani, V. S. Shankar Sriram:
Trust aware identity management for cloud computing. Int. J. Inf. Commun. Technol. 6(3/4): 369-380 (2014)
Coauthor Index
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