Application of Fruit Fly optimization Algorithm for Node Capture Attack in Wireless Sensor Network

Sensors are most important concept now-a-days and Wireless sensor network (WSN) [1] is a crucial technology. But, these are susceptible to different types of physical attacks. It is assortment of miniature sized sensor nodes. The reason behind vulnerable attacks is its limited resource capacity. It is screened to external atmosphere for circulating data. Node capture attack is supposed to be severe attacks in WSN [2]. In this type, the node is substantially captured by an assailant and eradicates the secret information from the node’s storage. This paper proposes a Fruit Fly Optimization Algorithm (FFOA) [13]. It is based on multiple objectives [4] node capture attack algorithm. Proposed algorithm serves these objectives: maximum node contribution [4], maximum key contribution [4], and least resource expenses [4]. The simulation result illustrates that FFOA obtains a maximum fraction of compromised traffic, lower attacking rounds, and lower energy cost as compared with matrix algorithm (MA) [5] and other node capture attack algorithms.