Classification Algorithms in Intrusion Detection System: A Survey V. Jaiganesh 1 Dr. P. Sumathi 2 A.Vinitha 3 1 Doctoral Research Scholar, Department of Computer Science, Manonmaniam Sundaranar University, Tirunelveli Tamil Nadu, India. [email protected]2 Doctoral Research Supervisor, Assistant Professor, PG & Research Department of Computer Science, Government Arts College and Science College, Coimbatore, Tamil Nadu, India. [email protected]3 M.Phil Scholar, Department of Computer Science, Dr. N.G.P Arts and Science College, Assistant Professor, Sasurie Arts &Science College, Erode, Tamilnadu, India. [email protected]Abstract Intrusion Detection system is a software which helps us to protect our system from other system when other person tries to access our system through network. It secures our system resources without giving access to other system. Nowadays internet has becoming more popular and wide. Many of them try to access the resources of unauthorized person to win their business. In this paper the data mining algorithm which helps to secure our system. In data mining classification algorithms helps easily to secure the system. Classification predicts the future data what the output comes. Intrusion detection system can be used for both host and network. The two algorithms surveyed are ID3 and C4.5. There are two types of detection methods. One is misuse detection and another one is anomaly detection. Keywords: Intrusion Detection System Architecture, Detection types, Attacks, Protocols, KDD cup data set, ID3 algorithm, C4.5 algorithm, Decision trees, Classification. 1. Introduction Intrusion detection system and prevention system are same. Both are used to detect the malicious program which enters in our network or host. The only difference is the prevention system will give the response to malicious program by using firewall, anti spam and by blocking the malicious activity. We can perform the intrusion detection in network and host. There are two types of intrusion detection system. They are signature based and anomaly based detection methods. We can provide the intrusion prevention system with the proper soft ware’s and hardware. Then only we can secure our system. Predictive modeling is used to predict the output based on historical data. Classification is used to predict the output by historical data. It has two processes. One is we should build the model and another one to see the resulting model. It is mainly used in customer segmentation, business modeling, credit risk and biomedical research and drug responses modeling. 2. Intrusion Detection Systems Architecture An intrusion detection system is a software program which helps to identify the malicious program which enter our system or in network. It helps to secure our system by responding to the malicious program. It is divided into two types. They are host based intrusion detection system and network based intrusion detection system. The active system will respond to the malicious program. But the passive system will detect only whether any malicious packets entered the system or not. IDS Architecture Firewall Figure 2.1 Host Based Intrusion Detection System Internet Company Network Company Network I D S I D S Router A Vinitha et al, Int.J.Computer Technology & Applications,Vol 4 (5),746-750 IJCTA | Sept-Oct 2013 Available [email protected]746 ISSN:2229-6093
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Classification Algorithms in Intrusion Detection System… · The host based intrusion detection system detects only the malicious packet which enters our system. It detects only
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Classification Algorithms in Intrusion Detection System: A Survey
V. Jaiganesh1
Dr. P. Sumathi2
A.Vinitha3
1
Doctoral Research Scholar, Department of Computer Science, Manonmaniam Sundaranar University, Tirunelveli