期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2013
卷号：2
期号：10
页码：5398
出版社：S&S Publications
摘要：In this paper, the Naïve Bayesian and K-Nearest neighbour algorithms have been implemented forclassification and AES, Triple DES and Rijndael on nine real-world datasets. The goal of the research is to evaluate theperformance of the classification algorithms when the data set is encrypted using a variety of performance metrics:classification accuracy, precision, recall (sensitivity), specificity and lift charts/gain charts and to determine the impactof encryption on these algorithms. We found that aside from the obvious time penalty the implementation of anencryption algorithm to protect user privacy the performance of the classification algorithms remained the same in mostof the datasets. However, the time penalties for encrypting the data before it could be used for classification variedgreatly depending on the type of algorithm used to encrypt the data.
