Classification of Encryption Algorithms using Fisher’s Discriminant Analysis
| Autor: | Prabhat Kumar Ray, Bimal Roy, Ayanendranath Basu, Shrikant Ojha |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
business.industry
Computer science Mechanical Engineering General Chemical Engineering Fisher kernel Biomedical Engineering General Physics and Astronomy Pattern recognition computer.software_genre Linear discriminant analysis Encryption Computer Science Applications Cipher Optimal discriminant analysis Data mining Artificial intelligence Electrical and Electronic Engineering Kernel Fisher discriminant analysis business computer Finite set Block cipher |
| Zdroj: | Defence Science Journal. 67:59 |
| ISSN: | 0976-464X 0011-748X |
| Popis: | Fisher’s Discriminant Analysis (FDA) is a method used in statistics and machine learning which can often lead to good classification between several populations by maximizing the separation between the populations. We will present some applications of FDA that discriminate between cipher texts in terms of a finite set of encryption algorithms. Specifically, we use ten algorithms, five each of stream and block cipher types. Our results display good classification with some of the features. In the present case we have little in terms of an existing standard; however, our limited study clearly shows that further exploration of this issue could be worthwhile. |
| Databáze: | OpenAIRE |
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