An Intelligent Method For Network Intrusion Detection System

Abstract

In Recent Decades, With Rapid Urbanization And Technological Advancements, Millions Of Smart Devices Have Been Flooding The Market. With The Rapidrise In Internet-Based Devices, The Number Of Which Is Anticipated To Reach 50 Billion By The End Of The Decade, Makes Network Security Attacks Essentially A Global Problem. Intrusion Detection Systems Are Systems That Use Techniques To Secure Networks And Devices Against Invasion In Progress Or Other Illegal Activities On A Network. To Date, Existing Ids Designs Have Been Reported With Poor Performance, Including High False Positive Rates And Low Accuracy. Hence, One Of The Most Important Requirements For Designing An Ids Is Improved Detection Performance. For This, A Hybrid Intelligent System Is Proposed That Uses Ga And Fcm In Combination With Machine Learning Algorithms Like Rf, Dt And Gb.