Open AccessSecuring the Network by the Intruder using Predictive Accession
Author(s) -
Vaibhavi Pandya,
Jitendrasinh G Raulji
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e6256.038620
Subject(s) - computer security , computer science , interrupt , key (lock) , intrusion detection system , confidentiality , network security , intrusion , computer network , telecommunications , geochemistry , transmission (telecommunications) , geology
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.