Output details
11 - Computer Science and Informatics
Bangor University
Output title
Classifying encryption algorithms using pattern recognition techniques
Type
E - Conference contribution
Name of conference/published proceedings
2010 IEEE International Conference on Information Theory and Information Security (ICITIS)
Volume number
-
Issue number
-
First page of article
1168
ISSN of proceedings
-
Year of publication
2010
URL
-
Number of additional authors
2
Additional information
<12>This study demonstrates the pioneering use of machine learning classification techniques to determine the encryption algorithm used to encrypt a piece of cypher text. DES, IDEA, AES, and RC block ciphers were classified. Being able to correctly determine the encryption algorithm raises a number of important security issues. This study evaluates 8 different machine learning classification techniquies and determines that the RoFo classifier has the highest acuracy in determining the encryption algorithm used.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
