• maninder jeet brar
• Er.Chamkaur Singh

Data mining is a vital method wherever intelligent strategies square measure applied extract knowledge patterns. It’s the method of discovering attention-grabbing pattern and data from massive amounts of information. The information supply will embrace a information, knowledge warehouses, the web, different repositories, or knowledge that square measure streamed into the system dynamically. Data processing aims at discovering patterns in knowledge which can be gift in knowledge. The method should be automatic or semiautomatic. The pattern discovered should be important therein they result in some advantage, sometimes associate degree economic advantage. The information is invariably gift in substantial quantities. The safety attacks will cause severe disruption to knowledge and networks. Therefore, Intrusion Detection System; becomes a crucial a part of each pc or network system. Intrusion detection (ID) may be a mechanism that has security for each computers and networks. Feature choice and have reduction is a crucial space of analysis in intrusion direction system. The dimensions and attribute of intrusion file square measure terribly massive. Because of the massive size of attribute the detection and classification mechanism of intrusion detection technique square measure compromised in terms of detection rate and alarm generation. The most downside is that there'll be the distinction between the new threat discovered and signature being employed in IDS for police works the threat. Approaches of IDS supported the placement of watching square measure Network-based intrusion detection system; and Host-based intrusion detection system; During this paper, completely different the various} author’s papers square measure reviewed and different issues square measure sweet-faced. The choice of illustrious and unknown attack has additionally sweet-faced a tangle of classification. There’s the multiclass downside throughout the classification of information. Intrusion detection may be a downside of transportation infrastructure protection because of the very fact that pc networks square measure at the core of the operational management of abundant of the nation’s transportation. of these issues square measure resolved with the assistance of Intrusion detection on Wi-Fi network victimization KNN (K Nearest Neighbour), SVM (Support Vector Machine) and GA and ninety nine end result square measure detected with the assistance of SVM.

IDS, ANN, Data, security, data mining

"INTRUSION DETECTION IN WIRELESS NETWORK USING ENSAMBLE TECHNIQUES OF DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.208-214, June-2018, Available :http://www.jetir.org/papers/JETIR1806276.pdf

"INTRUSION DETECTION IN WIRELESS NETWORK USING ENSAMBLE TECHNIQUES OF DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp208-214, June-2018, Available at : http://www.jetir.org/papers/JETIR1806276.pdf