Prof. S. Selvakumar
Prof. S. Selvakumar
Professor (HAG), Department of Computer Science and Engineering, National Institute of Technology
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Cited by
Cited by
Distributed denial of service attack detection using an ensemble of neural classifier
PAR Kumar, S Selvakumar
Computer Communications 34 (11), 1328-1341, 2011
Detection of distributed denial of service attacks using an ensemble of adaptive and hybrid neuro-fuzzy systems
PAR Kumar, S Selvakumar
Computer Communications 36 (3), 303-319, 2013
Distributed denial-of-service (ddos) threat in collaborative environment-a survey on ddos attack tools and traceback mechanisms
R Kumar, P Arun, S Selvakumar
2009 IEEE International Advance Computing Conference, 1275-1280, 2009
SSENet-2011: a network intrusion detection system dataset and its comparison with KDD CUP 99 dataset
AR Vasudevan, E Harshini, S Selvakumar
2011 second asian himalayas international conference on internet (AH-ICI), 1-5, 2011
Anomaly detection framework for Internet of things traffic using vector convolutional deep learning approach in fog environment
BA NG, S Selvakumar
Future Generation Computer Systems 113, 255-265, 2020
Multi-constraint qos unicast routing using genetic algorithm (muruga)
R Leela, N Thanulekshmi, S Selvakumar
Applied Soft Computing 11 (2), 1753-1761, 2011
Detection of application layer DDoS attack by modeling user behavior using logistic regression
S Yadav, S Selvakumar
2015 4th International Conference on Reliability, Infocom Technologies and …, 2015
BIXSAN: Browser independent XSS sanitizer for prevention of XSS attacks.
V Sharath Chandra, S Selvakumar
ACM SIGSOFT Softw. Eng. Notes 36 (5), 1-7, 2011
Deep radial intelligence with cumulative incarnation approach for detecting denial of service attacks
BA NG, S Selvakumar
Neurocomputing 340, 294-308, 2019
Blind Image Steganalysis of JPEG images using feature extraction through the process of dilation
P Pathak, S Selvakumar
Digital Investigation 11 (1), 67-77, 2014
Multi-measure multi-weight ranking approach for the identification of the network features for the detection of DoS and Probe attacks
S Bhattacharya, S Selvakumar
The Computer Journal 59 (6), 923-943, 2016
Implementation and Comparison of Distributed Caching Schemes
PP S.Selvakumar
Conference Proceedings IEEE ICON 2000, Singapore, 2000
Prevention of man-in-the-middle attacks using ID based signatures
V Radhakishan, S Selvakumar
2011 Second International Conference on Networking and Distributed Computing …, 2011
Local outlier factor and stronger one class classifier based hierarchical model for detection of attacks in network intrusion detection dataset
SS Vasudevan A. R.
Frontiers of Computer Science 10 (4), 755-766, 2016
Distributed Denial-of-Service (DDoS) Threat in Collaborative Environment-A Survey on DDoS Attack Tools and Traceback Mechanisms
P Arun Raj Kumar, S Selvakumar
IEEE International Advance Computing conference (IACC 2009), 2009
Ssenet-2014 dataset: A dataset for detection of multiconnection attacks
S Bhattacharya, S Selvakumar
2014 3rd International Conference on Eco-friendly Computing and …, 2014
Assessment of the risk factors for type II diabetes using an improved combination of particle swarm optimization and decision trees by evaluation with Fisher’s linear …
A Sheik Abdullah, S Selvakumar
Soft Computing 23 (20), 9995-10017, 2019
Vcdeepfl: Vector convolutional deep feature learning approach for identification of known and unknown denial of service attacks
NGB Amma, S Subramanian
TENCON 2018-2018 IEEE Region 10 Conference, 0640-0645, 2018
Comparing the Efficacy of Decision Tree and itsVariants using Medical Data
AS Abdullah, S Selvakumar, P Karthikeyan, M Venkatesh
Indian Journal of Science and Technology 10 (18), 1-8, 2017
M2KMIX: identifying the type of high rate flooding attacks using a mixture of expert systems
PAR Kumar, S Selvakumar
International journal of Computer Network and Information Security 4 (1), 1, 2012
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