• Anita Sharma
• Nirupma Tiwari

Data mining (DM) method needed in huge amount in different fields. At the time of the scheming Network (NW) Intrusion Detection System (IDS), it’s essential so as to detect the write form of attacks in a small amount time also increase the suitable alarm. To perform DM methods are most useful as well as efficient method which can be required to design IDS. DM based intrusion detection (ID) methods normally are in any 2 categories; anomaly detection , misuse detection. Normally DM signifies to mining process of the descriptive form of models from huge data repository. Use of DM algorithms in IDS offeres good performance, protection. Such systems are able to detect identified and unidentified attacks from NW. various form of DM techniques such as summarization, clustering, classification which can be needed for analyzing as well as detecting intrusion. In given paper, various form of applications of DM and IDS are considered

Data mining, KDD, Intrusion Detection System, Host based system, Network based system.

"A Study on Intrusion Detection System and Applications of Data Mining ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.895-899, June-2019, Available :http://www.jetir.org/papers/JETIR1906E86.pdf

"A Study on Intrusion Detection System and Applications of Data Mining ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp895-899, June-2019, Available at : http://www.jetir.org/papers/JETIR1906E86.pdf