ENHANCED GENETIC ALGORITHM USES TSP (EGA-TSP) FOR NETWORK SECURITY

Abstract

Security is the conspicuous worry for the network and it is energetically prescribed to keep up with security. There exists a few methodologies has been endeavoured to address this difficult undertaking. This paper presents the appropriateness of the genetic algorithm (GA) for security concerns. The working of the GA vigorously relies upon the different variables incorporates: propagation operators, selection techniques, chromosome portrayal and issue type an exhaustive investigation of various selection techniques in proposed Enhanced genetic algorithm to settle Travelling Salesman Problem (EGA-TSP). Then thought about their presentation as far as the base distance expected to get the briefest way in TSP. Then, a security circumstance prediction model considering GA to tackle TSP is proposed to comprehend the security circumstance prediction for the attack graph information plane. As per the trials led, Rank based selection technique gave the best outcome with regards to separate.