Intrusion Detection through Ensemble Classification Approach
Priyanka J. Pathak, Snehlata Dongre · 2011
Security is a big issue for all networks in today’s enterprise environment. Hackers and intruders have made many successful attempts to bring down high profile company networks and web services. Intrusion Detection System (IDS) 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 methods 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 presents various techniques used for clustering and classification used in intrusion detection systems to maximize the effectiveness in identifying attacks, thereby helping the users to construct more secure information systems.