Browsing by Author "Khurana, S.S."

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    Comparison of classification techniques for intrusion detection dataset using WEKA
    (Institute of Electrical and Electronics Engineers Inc., 2014) Garg, T.; Khurana, S.S.
    As the network based applications are growing rapidly, the network security mechanisms require more attention to improve speed and precision. The ever evolving new intrusion types pose a serious threat to network security. Although numerous network security tools have been developed, yet the fast growth of intrusive activities is still a serious issue. Intrusion detection systems (IDSs) are used to detect intrusive activities on the network. Machine learning and classification algorithms help to design 'Intrusion Detection Models' which can classify the network traffic into intrusive or normal traffic. In this paper we present the comparative performance of NSL-KDD based data set compatible classification algorithms. These classifiers have been evaluated in WEKA (Waikato Environment for Knowledge Analysis) environment using 41 attributes. Around 94,000 instances from complete KDD dataset have been included in the training data set and over 48,000 instances have been included in the testing data set. Garrett's Ranking Technique has been applied to rank different classifiers according to their performance. Rotation Forest classification approach outperformed the rest. ? 2014 IEEE.
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    Segregated receive and relay scheme for communication in wireless sensor networks
    (Institute of Electrical and Electronics Engineers Inc., 2015) Saini, S.; Khurana, S.S.
    A Wireless Sensor Network (WSN) is a set of self-powered sensor nodes. These nodes are deployed in infrastructure less mode to collect the useful information from the environment and transmit it to the sink node. The significance of Wireless Sensor Networks has been evidenced in many applications like military areas, health monitoring and observation of earthquake etc. However, WSN has also some limitations including limited energy supply that leads to shorter life time of the network. Although numerous techniques have been proposed to improve the life time of sensor nodes, yet the large energy requirements for communication activities is still a serious issue. In this work, Segregated Receive and Relay (SRR) based routing scheme has been proposed to increase the lifetime of WSN. To achieve the purpose, relay nodes have been introduced in interior regions of the network area. The results confirm that proposed scheme significantly reduce the energy consumed by interior region nodes, which proves the usefulness of the proposed scheme in prolonging WSN lifetime. ? 2014 IEEE.