Intrusion Detection In Wsn Using Modified AODV Algorithm

Abstract

Wireless sensor network plays a major role in recent scientific developments for transmission of information. It comprises of many sensor nodes which are connected virtually to transmit and receive data. But security is the main challenge experienced in the WSN to have a proper data transmission. Hence detection and separation of the attacks created in the sensor network is necessary. In this paper, a scheme for intrusion detection in wireless sensor network is introduced. It is done by using a modified AdhocOn Demand Distance Vector (AODV) algorithm as a routing protocol. Here NS-2 is used for implementing and simulating the proposed protocol and its performance is evaluated and analysed considering various network parameters.

An Explainable Evolving Fuzzy Neural Network to Predict the k Barriers for Intrusion Detection Using a Wireless Sensor Network

“…The use of machine learning to improve these identifications has been extensively discussed in the literature, thus making it a subject of great relevance and scope in science [ 17 ]. Authors have already proposed solutions to the problem using Gaussian processes [ 18 ], coverage probability in a mobile sensor network [ 19 ], low-power sensors inside the region of interest [ 20 ] and on-demand distance vector routing [ 21 ]. However, until the present moment, the interpretability of these sensors during identification has not been specified.…”