Securing the Network by the Intruder using Predictive Accession
Vaibhavi Pandya1, Jitendrasinh Raulji2

1Vaibhavi Pandya, Computer Engineering, Parul Polytechnic Institute, vadodara, India.
2Jitendrasinh Raulji, Computer Engineering, Parul Polytechnic Institute, vadodara, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 1822-1825 | Volume-8 Issue-6, March 2020. | Retrieval Number: E6256018520/2020©BEIESP | DOI: 10.35940/ijrte.E6256.038620

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Abstract: Today, it is very crucial to deliver a immense level security to protect highly delicate and private information. Intrusion Detection System is an essential technology in Network Security. So my aim is to use IDS system and meliorate the performance of the IDS. The main target of Intrusion detection and prevention systems (IDPS) is to determine the feasible incidents, logging clue about them and in report attempts. Intruder is the person who tries to interrupt the network. So, it is essential to present a high level security to defend extremely susceptible and confidential information. Key aim of this thesis is to secure the network from the intruders identifying them also predicting them for the next transactions within the network. For that modified genetic algorithm is used to rank the parents and produce better individuals for the prediction of the intruders and provide better security to the network. Also improve the performance of genetic parameters.
Keywords: Genetic Algorithm, IDS, Intruder, Rank Matrix.
Scope of the Article: Algorithmic Game Theory.