Intrusion detection systems with data mining technics and an application

As importance of information is increasing day by day, security measures are also enhanced simultaneously. Intrusion detection systems are among them. Intrusion detection systems are security systems that detect attacks on computer systems and network sources, identify the source of attacks, track system to identify abnormal situations and aim to take necessary measures against them. Detection of abnormal situations in systems is included in data mining topic.Dos attacks ,one of the intrusion types, block access to a network or to a source and they would be easily performed and tried first by malicious users. One of these attacks - Brute Force attack- uses estimation based trial and error method to crack system's user accounts and passwords.In this thesis, how to use data mining techniques to detect intrusions is presented. An intrusion detection application in which one of the DoS attacks - Brute Force type attack - detected and blocked by data mining systems is proposed.Proposed application is developed using C# on Microsoft Visual Studio .NET 2005 and Microsoft Office 2007 Access. Importance of intrusion detection system in this proposed application arises from detection of attacks ip-based and being a real-time intrusion detection system.