Development of a Modified Bacterial Foraging Optimization Algorithm Based Black Hole Attack Mitigation Model for Wireless Sensor Networks.

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– Development of a Modified Bacterial Foraging Optimization Algorithm Based Black Hole Attack Mitigation Model for Wireless Sensor Networks –

Download Development of a Modified Bacterial Foraging Optimization Algorithm Based Black Hole Attack Mitigation Model for Wireless Sensor Networks. Electrical and Computer Engineering students who are writing their projects can get this material to aid their research work.

Abstract

This study is aimed at the development of a mechanism for black hole attack mitigation in Wireless Sensor Network (WSN) using a modified Bacterial Foraging Optimization Algorithm (BFOA).

A total of 200 randomly generated bacterial sensor nodes with a communication range of 20m were deployed in a 100mx100m network coverage area, consisting of four base stations. The radii 20m, 30m, and 40m were chosen for the black hole region.

The algorithm was implemented in MATLAB R2015b. In all tests carried out, the results obtained at 40m radius showed the effect of the black hole attack better than those at 20m and 30m.

Successful packet delivery probabilities of 83.52%, 95.78%, 97.26%, and 99.78% respectively were achieved at 40m radius for one, two, three, and four base stations respectively. A significant reduction in false-positive was observed when the base stations were increased.

Introduction

According to Annu and Chaudhary (2015), “Wireless Sensor Network (WSN) is an interconnection of a large number of nodes deployed for monitoring a system by means of measurement of its parameters”.

Due to its wide range of applications in both the military and civilian domain, it is emerging as a prevailing technology for the future. It is used in industrial process control and monitoring, healthcare monitoring, environment and habitat monitoring, disaster management, structural monitoring, and lots more (Arya & Raina, 2014).

Wireless Sensor Networks are prone to security attacks due to severe constraints such as the broadcast nature of transmission medium, limited battery power, small memory, and susceptibility to physical capture because they are deployed in hostile and physically non-protected areas.

As such, security is a major concern in WSN. There are many possible attacks on sensor networks such as Denial of Service (DoS) attack, selective forwarding, Sybil attack, sinkhole attack, black hole attack, hello flood attack, and wormhole attack (Sharma & Thakur, 2014; Sharma & Ghose, 2010).

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