DATA MINING: A ‘RIM’ ALGORITHM FOR SPYWARE DETECTION WITH PRUNING
Journal Title: Indian Journal of Computer Science and Engineering - Year 2014, Vol 5, Issue 2
Abstract
The aim of this paper is to employ the principles of data mining and classify a new algorithm. In this method, we have proposed a new anti-spyware system (Spyware Detection), which is capable for classifying spyware files from legitimate files. Also we have evaluated the performance of our anti-spyware system with the existing anti- spywares in terms of overall accuracy (ACC) and false positive rate (FPR)... This paper describes the use of classification trees and shows the methods of pruning them using the new Algorithm.The RIM algorithm which can be classified and compared with other algorithms like Naïve Bayes, HNB (Hidden Naïve Bayes) , Random Tree Algorithm The experimental results suggest that our method is better than the existing methods and shows the best result.
Authors and Affiliations
Mrs. Indulakshmi , Dr. Nalini
Keywords
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