Research

Scientific Transactions in Environment and Technovation Journal(STET), 05 Nov 2016 | 0
Year : 2015 | Volume: 3 | Issue: 2 | Pages : 74-78

Data mining for network intrusion detection system in real time

Intrusion detection technology is an effective approach to dealing with the problems of network security. In this paper, we
present a data mining-based network intrusion detection framework in real time (NIDS). This framework is a distributed
architecture consisting of sensor, data preprocessor, extractors of features and detectors. To improve efficiency, our approach
adopts a novel FP-tree structure and FP-growth mining method to extract features based on FP-tree without candidate generation.

Keywords: data mining, FP-growth, intrusion detection, network, real time

Citation: *, ( 2015), Data mining for network intrusion detection system in real time. Scientific Transactions in Environment and Technovation Journal(STET), 3(2): 74-78

Received: 2016-05-11 06:48:46; Accepted: 2016-05-11 06:48:55;
Published: 11/05/2016

Edited by:

Reviewed by:

*Correspondence: M.Vanitha