| Efficient feature selection and classification through ensemble method for network intrusion detection on cloud computing S Krishnaveni, S Sivamohan, SS Sridhar, S Prabakaran Cluster Computing 24 (3), 1761-1779, 2021 | 108 | 2021 |
| Anomaly-based intrusion detection system using support vector machine S Krishnaveni, P Vigneshwar, S Kishore, B Jothi, S Sivamohan Artificial intelligence and evolutionary computations in engineering systems …, 2020 | 53 | 2020 |
| Ensemble approach for network threat detection and classification on cloud computing S Krishnaveni, S Prabakaran Concurrency and Computation: Practice and Experience 33 (3), e5272, 2021 | 32 | 2021 |
| Network intrusion detection based on ensemble classification and feature selection method for cloud computing S Krishnaveni, S Sivamohan, S Sridhar, S Prabhakaran Concurrency and Computation: Practice and Experience 34 (11), e6838, 2022 | 26 | 2022 |
| An effective recurrent neural network (RNN) based intrusion detection via bi-directional long short-term memory S Sivamohan, SS Sridhar, S Krishnaveni 2021 international conference on intelligent technologies (CONIT), 1-5, 2021 | 26 | 2021 |
| A survey on honeypot and honeynet systems for intrusion detection in cloud environment S Krishnaveni, S Prabakaran, S Sivamohan Journal of Computational and Theoretical Nanoscience 15 (9-10), 2949-2953, 2018 | 23 | 2018 |
| Design and Development of IOT Testbed with DDoS Attack for Cyber Security Research R Arthi, S Krishnaveni 2021 3rd International Conference on Signal Processing and Communication …, 2021 | 22 | 2021 |
| Performance evaluation and comparison of clustering algorithms used in educational data mining N Valarmathy, S Krishnaveni International Journal of Recent Technology and Engineering (IJRTE) 7 (6S5), 2019 | 19 | 2019 |
| Multiclass classification of XSS web page attack using machine learning techniques S Krishnaveni, K Sathiyakumari International Journal of Computer Applications 74 (12), 36-40, 2013 | 16 | 2013 |
| Detection of diabetic retinopathy and related retinal disorders using fundus images based on deep learning and image processing techniques: A comprehensive review B Lalithadevi, S Krishnaveni Concurrency and Computation: Practice and Experience 34 (19), e7032, 2022 | 13 | 2022 |
| An Internet of Things(IoT) Based Intelligent Framework for Healthcare – A Survey L Balakrishnan, Krishnaveni IEEE- 2021 3rd International Conference on Signal Processing and …, 2021 | 13 | 2021 |
| TEA-EKHO-IDS: An intrusion detection system for industrial CPS with trustworthy explainable AI and enhanced krill herd optimization S Sivamohan, SS Sridhar, S Krishnaveni Peer-to-Peer Networking and Applications 16 (4), 1993-2021, 2023 | 10 | 2023 |
| Deep learning techniques to detect crop disease and nutrient deficiency-a survey M Sowmiya, S Krishnaveni 2021 International Conference on System, Computation, Automation and …, 2021 | 10 | 2021 |
| Efficient Multi-platform Honeypot for Capturing Real-time Cyber Attacks S Sivamohan, SS Sridhar, S Krishnaveni Intelligent Data Communication Technologies and Internet of Things …, 2022 | 8 | 2022 |
| Deep learning approach for RPL wormhole attack T Thiyagu, S Krishnaveni, R Arthi Intelligent Data Communication Technologies and Internet of Things …, 2022 | 8 | 2022 |
| Impact of foliar nutrition on the yield and economics of greengram (Vigna radiata) SA Krishnaveni, C Supriya, SM Sridhar International Journal of Chemical Studies 9 (2), 11-13, 2021 | 6 | 2021 |
| A Feasibility Study of Diabetic Retinopathy Detection in Type II Diabetic Patients Based on Explainable Artificial Intelligence B Lalithadevi, S Krishnaveni, JSC Gnanadurai Journal of Medical Systems 47 (1), 85, 2023 | 5 | 2023 |
| Automated Vulnerability Detection and Prediction by Security Testing for Cloud SAAS SPSS S. Krishnaveni1 * Indian Journal of Science and Technology 9 (1), 2016 | 5 | 2016 |
| SpiderNet: An interaction tool for predicting malicious web pages S Krishnaveni, K Sathiyakumari International Conference on Information Communication and Embedded Systems …, 2014 | 5 | 2014 |
| IoT enabled prediction of agriculture's plant disease using improvedϖ quantum whale optimization DRDNN approach M Sowmiya, S Krishnaveni Measurement: Sensors 27, 100812, 2023 | 3 | 2023 |
S.S.SridharProfessor, Department of Computing Technologies, SRM Institute of Science and Technology在 srmist.edu.in 的电子邮件经过验证
