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ANALYSIS OF PERFORMANCE COMPARISON OF INTRUSION DETECTION SYSTEM BETWEEN SVM, NAÏVE BAYES MODEL, RANDOM FOREST, K-NEAREST NEIGHBOR ALGORITHM

HARSH NAMDEV BHOR and Dr. MUKESH KALLA

Vol 17, No 05 ( 2022 )   |  DOI: 10.5281/zenodo.6601187   |   Author Affiliation: Assistant Professor, K.J. Somaiya Institute of Engineering and Information Technology, Sion, Mumbai, India; Assistant Professor, Sir Padampat Singhania University, Bhatewar, Udaipur, Rajasthan, India   |   Licensing: CC 4.0   |   Pg no: 128-144   |   To cite: HARSH NAMDEV BHOR, & Dr.MUKESH KALLA. (2022). ANALYSIS OF PERFORMANCE COMPARISON OF INTRUSION DETECTION SYSTEM BETWEEN SVM, NAÏVE BAYES MODEL, RANDOM FOREST, K-NEAREST NEIGHBOR ALGORITHM. 17(05), 128–144. https://doi.org/10.5281/zenodo.6601187   |   Published on: 30-05-2022

Abstract

The computerized unrest has generously transformed ourselves in which Internet-of-Things (IoT) assumes a noticeable job. The quick improvement of IoT to most corners of life, nonetheless, prompts different arising online protection dangers. Consequently, recognizing and forestalling likely assaults in IoT networks have as of late pulled in vital premium from both scholarly world and industry. The development of the Internet of Things (IoT), distinctive IoT hubs, for example, 6LoWPAN gadgets can be associated as an organization to offer incorporated types of assistance. Since security and intrusion detection are becoming crucial among IoT devices, real-time detection of the attacks are critical to protect the IoT networks. However, there exists limited research for efficient network intrusion detection systems (NIDS) in the IoT networks. . However, there exists limited research for efficient network intrusion detection systems (NIDS) in the IoT networks. This paper therefore proposes a new NIDS protocol with an efficient replica detection algorithm to increase the utility and performance of existing NIDS, where a number of replica test nodes are intentionally inserted into the network to test the reliability and response of witness nodes. The proposed protocol, Enhanced NIDS, can address the vulnerability of NIDS and improve IoT network security to detect severe compromise attacks such as clone attacks. The simulation study shows that compared to the state-of-the-art SVELTE protocol, the proposed protocol can significantly increase the detection probability and reduce the energy consumption for detecting clone attacks in IoT networks. The aim of the research is As upcoming Phase, with design of proposed system focus on the going with issues, To analyze strong and powerless reasons for different area techniques IoT, to extend the assault disclosure reach to deliver more IoT advances to improve security of ready traffic and the heads and to develop advantageous solicitations, for instance, mindful association then autonomic organization structures.


Keywords

Internet of Things, Network protocol, Security, Intrusion detection systems, Replica detection, Clone attacks.