S
S. Muthurajkumar
Researcher at Anna University
Publications - 20
Citations - 409
S. Muthurajkumar is an academic researcher from Anna University. The author has contributed to research in topics: Cloud computing & Access control. The author has an hindex of 7, co-authored 16 publications receiving 280 citations. Previous affiliations of S. Muthurajkumar include College of Engineering, Guindy.
Papers
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Journal ArticleDOI
Intelligent feature selection and classification techniques for intrusion detection in networks: a survey
Sannasi Ganapathy,K. Kulothungan,S. Muthurajkumar,Muthusamy Vijayalakshmi,P. Yogesh,Arputharaj Kannan +5 more
TL;DR: A survey on intelligent techniques for feature selection and classification for intrusion detection in networks based on intelligent software agents, neural networks, genetic algorithms, neuro-genetic algorithms, fuzzy techniques, rough sets, and particle swarm intelligence is proposed.
Journal ArticleDOI
Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks
Periasamy Nancy,S. Muthurajkumar,Sannasi Ganapathy,S. V. N. Santhosh Kumar,M. Selvi,Kannan Arputharaj +5 more
TL;DR: A novel feature selection algorithm, which selects an optimal number of features from the data set and an intelligent fuzzy temporal decision tree algorithm integrated with convolution neural networks to detect the intruders effectively are proposed.
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An Intelligent Secured and Energy Efficient Routing Algorithm for MANETs
TL;DR: A new secured routing protocol called Cluster based Energy Efficient Secure Routing Algorithm (CEESRA) is proposed which is energy efficient and uses cluster based routing in which the trust scores on nodes are used to detect the intruders effectively.
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Secured Temporal Log Management Techniques for Cloud
TL;DR: Security to temporal log management is provided by encrypting the log data before they are stored in the cloud storage, which was implemented in Java programming language in the Google drive environment.
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Sentiment Analysis Techniques for Social Media-Based Recommendation Systems
TL;DR: A new technique called sentiment-based rating prediction method is proposed for developing a recommendation system in which the newly introduced technique is capable of mining valuable information from social user reviews in order to predict the accurate items liked by people based on their rating.