Security threats Detection and Handling Mechanism in Wireless Sensor Networks using Machine Learning


Authors : Mohammad Farhaan; Shivanshu Singh; Shivendra Singh; Sakshi Malhotra; Dr Javed Miya

Volume/Issue : Volume 7 - 2022, Issue 5 - May

Google Scholar : https://bit.ly/3IIfn9N

DOI : https://doi.org/10.5281/zenodo.6613611

Wireless sensor networks (WSNs) have various capacity packages plus specific challenges. They commonly include masses of hundreds small sensor nodes that paintings autonomously. Conditions together with value, invisible deployment, and plenty of software domain names result in sensors with small length and restricted resources. WSNs are prone to many varieties of bodily assaults and maximum conventional community safety approaches are in operative on WSNs. because of the wireless and not unusual place quality of the verbal exchange path, suspicious broadcast, deployment in open environments, unsupervised nature and restricted resources. Security is consequently a crucial prerequisite for those networks. Though, we want to broaden the proper safety mechanism that takes into consideration the restrictions and necessities of WSN. In this document, we awareness at the Security hassle in WSN, Attacks in Wireless Sensor Networks, DOS Attack, Methods of Attack, Types of Attack ,How To Tackle with Hybrid Model Approach. This paintings allows us to discover the cause along with the competencies of the invaders. The aim, quit result, as well as effect of DO S assaults on WSNs also are presented. The article additionally deliberates famous techniques to safety detection towards DOS assaults. This might permit safety managers to greater efficiently manipulate WSNs' DOS assaults

Keywords : Wireless Sensor Network (WSN), Security, Physical Attacks, WSN's structure, Security in WSN , Hybrid version Approach , Dataset Collection , SVM algorithm , KNN Algorithm , Naïve Bayes Algorithm , Random Forest Algorithm.

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30 - November - 2022

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