HIGH IMPACT FACTOR - 2.39

Incremental Learning Based Interruption Identification Framework for Spilling System Activity

Author(s):

Sunil S Airodagi , Sapthagiri college of engineering; Madhushree, Sapthagiri college

Keywords:

Classification, Data Mining, Intrusion Detection, KDD CUP Dataset, Network Security, Incremental Algorithm

Abstract

Due expanded development of Internet, number of system assaults has been expanded, Which accentuation requirement for interruption identification frameworks (IIF) for securing system, In this procedure system movement is broke down and checked for recognizing security defects. Numerous scientists taking a shot at number of information digging strategies for building up an interruption identification framework. For recognizing the interruption, the system activity can be arranged into typical and peculiar. In this paper we have surveyed incremental calculation for interruption location framework for spilling system and batch processing. As pressure result the incremental calculation is superior to the batch processing calculation as far as exactness, accuracy and f-measure and the dataset used is KDDCUP.

Other Details

Paper ID: IJSRDV4I30232
Published in: Volume : 4, Issue : 3
Publication Date: 01/06/2016
Page(s): 150-153

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