A novel prevention mechanism for replay attack in distance vector-hop localization scheme

Abstract

Securing the process of node localization in Wireless Sensor Network (WSN) is an important area of research. In this paper, we focus on securing Distance Vector (DV)-Hop localization scheme from Replay Attack. The DV-Hop localization algorithm is a limit free hop based reference Wireless Sensor Network architecture. It faces a couple of issues like a route discovery mechanism and threat prevention issues. This paper focuses on the establishment of a prevention mechanism for DV-Hop scheme against a Replay attack. The proposed architecture uses an Artificial Bee Colony (ABC) and Neural Network in order to prevent the attack. To prove the efficacy of the proposed scheme, the network scenario without replay attack, with replay attack and with attack after prevention mechanism is considered. The simulations are conducted for 200 iterations using MATLAB. The evaluation is done on the basis of parameters like localization error and transmission loss. Localization error of the proposed framework is similar to localization error without an attack which is about 0.57, and the maximum localized error is about 0.92. The maximum transmission loss without attack and after prevention is very close and varies by only 2 %, which is very good. The experimental results reveal that the proposed technique successfully prevents replay attack in WSN.