Prevention of IP spoofing attack in cyber using artificial Bee colony and artificial neural network

Abstract

IP spoofing is a method in which the attacker develops and IP with bogus or fake source IP address the header. IP can be spoofed by means of fake information for hiding the sender's individuality or for helping with developing attacks like DDoS. In this paper, IP spoofing attack in cyber is prevented by using an optimization algorithm namely Artificial Bee Colony (ABC) with the blend of classifiers such as Artificial neural network (ANN). The properties of nodes are optimized by using the fitness function of the ABC algorithm and then the neural network model will further upskill, using the optimized properties and later store it in the database. For depicting the performance of the proposed architecture, different parameters named as Packet delivery ratio, Efficiency in terms of Throughput and Energy consumption are measured. The simulation is performed in MATLAB simulation tool.