Learning-Driven Detection and Mitigation of DDoS Attack in IoT via SDN-Cloud Architecture N Ravi, SM Shalinie IEEE Internet of Things 7 (4), 3559 - 3570, 2020 | 242 | 2020 |
Design of cognitive fog computing for intrusion detection in Internet of Things S Prabavathy, K Sundarakantham, SM Shalinie Journal of Communications and Networks 20 (3), 291-298, 2018 | 164 | 2018 |
A survey of distributed denial of service attack KN Mallikarjunan, K Muthupriya, SM Shalinie 10th International Conference on Intelligent Systems and Control (ISCO …, 2016 | 91 | 2016 |
Semisupervised-learning-based security to detect and mitigate intrusions in IoT network N Ravi, SM Shalinie IEEE Internet of Things Journal 7 (11), 11041-11052, 2020 | 70 | 2020 |
Detection of DDoS attacks using Enhanced Support Vector Machines with real time generated dataset T Subbulakshmi, K BalaKrishnan, SM Shalinie, D AnandKumar, ... 2011 Third International Conference on Advanced Computing, 17-22, 2011 | 59 | 2011 |
Web phishing detection techniques: a survey on the state‐of‐the‐art, taxonomy and future directions M Vijayalakshmi, S Mercy Shalinie, MH Yang, RM U Iet Networks 9 (5), 235-246, 2020 | 56 | 2020 |
Real time detection and classification of DDoS attacks using enhanced SVM with string kernels A Ramamoorthi, T Subbulakshmi, SM Shalinie 2011 international conference on recent trends in information technology …, 2011 | 49 | 2011 |
Probabilistic neural network based attack traffic classification V Akilandeswari, SM Shalinie 2012 Fourth International Conference on Advanced Computing (ICoAC), 1-8, 2012 | 45 | 2012 |
An impact analysis: Real time DDoS attack detection and mitigation using machine learning BSK Devi, G Preetha, G Selvaram, SM Shalinie 2014 International Conference on Recent Trends in Information Technology, 1-7, 2014 | 34 | 2014 |
Real time classification and clustering of ids alerts using machine learning algorithms T Subbulakshmi, G Mathew, SM Shalinie International journal of Artificial & Application 1 (1), 20, 2010 | 33 | 2010 |
Detection and classification of DDoS attacks using machine learning algorithms T Subbulakshmi, SM Shalinie, A Ramamoorthi European Journal of Scientific Research 47 (3), 334-346, 2010 | 31 | 2010 |
Balance: Link flooding attack detection and mitigation via hybrid-sdn N Ravi, SM Shalinie, DDJ Theres IEEE Transactions on Network and Service Management 17 (3), 1715-1729, 2020 | 30 | 2020 |
Aegis: Detection and mitigation of tcp syn flood on sdn controller N Ravi, SM Shalinie, C Lal, M Conti IEEE Transactions on Network and Service Management 18 (1), 745-759, 2020 | 29 | 2020 |
Classification of multispectral images using support vector machines based on PSO and k-means clustering K Venkatalakshmi, SM Shalinie Proceedings of 2005 International Conference on Intelligent Sensing and …, 2005 | 29 | 2005 |
DDoS detection using host-network based metrics and mitigation in experimental testbed BSK Devi, G Preetha, SM Shalinie 2012 International Conference on Recent Trends in Information Technology …, 2012 | 27 | 2012 |
Anomaly Detection System based on Analysis of Packet Header and Payload Histograms I Hareesh, S Prasanna, MV Lakshmi, SM Shalinie International Conference on International Conference on Recent Trends in …, 2011 | 27 | 2011 |
Wormhole-Free Routing and DoS Attack Defense in Wireless Mesh Networks G Akilarasu, SM Shalinie Wireless Networks, 1-10, 2016 | 26 | 2016 |
XFDDC: eXplainable Fault Detection Diagnosis and Correction framework for chemical process systems RRA Harinarayan, SM Shalinie Process Safety and Environmental Protection 165, 463-474, 2022 | 24 | 2022 |
SLAMHHA: A supervised learning approach to mitigate host location hijacking attack on SDN controllers R Nagarathna, SM Shalinie 2017 Fourth International Conference on Signal Processing, Communication and …, 2017 | 24 | 2017 |
Contention awareness in task scheduling using tabu search R Shanmugapriya, S Padmavathi, SM Shalinie 2009 IEEE International Advance Computing Conference, 272-277, 2009 | 23 | 2009 |