A Clustering Algorithm for Intrusion Detection using Hybrid Data Mining Technique
Vibha Rao · 2015
Intrusion Detection System (IDS) is a becoming a necessary component of network in today's world of Internet. It is an important detection that is used as a countermeasure to preserve data integrity and system availability from attacks. The main reason for using data mining classification method for Intrusion Detection System is due to the enormous volume of existing and newly appearing network data that require processing. Data mining is the best option for handling such type of data. This paper focuses on a hybrid approach for intrusion detection system (IDS) based on data mining techniques. Clustering analysis is required to improve the detection rate and decrease the false alarm rate. Most of the previously proposed methods suffer from the low detection rate and high false alarm rate. This paper uses hybrid data mining approach that contains feature selection, filtering, clustering, divide and merge and clustering ensemble. The IDS with clustering ensemble is introduced for the effective identification of attacks to achieve high accuracy and detection rate as well as low false alarm rate. During the past few years, security of computer network has become main stream in most of everyone's lives. Today, most discussions on computer security is centered on the tools or techniques used in protecting and defending networks. Intrusion detection (ID) is the unrelenting active attempts in discovering or detecting the presence of intrusive activities. ID (1) relates to computers and network infrastructure encloses a broader scope and it also refers to all processes used in discovering unauthorized uses of network or computer devices. The network based attacks can also be referred as some kind of intrusion. An intrusion can be defined as any set of actions or a type of attack that attempts to compromise the confidentiality, availability, or integrity availability of a resource. For controlling intrusions, intrusion detection systems are introduced.