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Nowadays, as information system plays critical part in the internet, the importance of secure networks is tremendously increased. Intrusion Detection System (IDS) is used to preserve the data integrity, confidentiality and system availability from attacks. Data mining is used to clean, classify and examine large amount of network data. Since a large volume of network traffic that requires processing, we use data mining techniques. Different Data Mining techniques such as clustering, classification and association rules are proving to be useful for analyzing network traffic. This paper presents the survey on data mining techniques applied on intrusion detection systems for the effective identification of both known and unknown patterns of attacks, thereby helping the users to develop secure information systems.