A PROPOSED APPROACH FOR THE PREVENTION OF BLACK HOLE USING FINGER PRINT AUTHENTICATION AND GENETIC ALGORITHM OPTIMIZATION

Abstract

The Internet is a communication network where two or more than two users communicate and exchange the data. When two or more than two different areas combine together to substantially attain a specific goal then it is referred to as Internet of Things. Adhoc network consists of devices that communicate with each other directly. Black hole attack is a security threat in which a malicious node drops some or all of the packets. Biometric features are used for identification of a person. In this paper, author proposed framework that implements a biometric authentication system to verify the user and to save the user from any internal or external threat in the communication network. The main objective of this research work is to integrate the biometric security with the communication network. The feature extraction algorithm for the finger print is supposed to be minutiae based feature extraction. If the user is authenticated only then prevention mechanism against black hole is applied using the genetic algorithm. Proposed model’s performance is evaluated using various metrics like delay, throughput, energy consumption and packet delivery ratio.