Monaghan, David S., Gopinathan, Unnikrishnan, Naughton, Thomas J. and Sheridan, John T. (2007) Key-space analysis of double random phase encryption technique. Applied Optics, 26. pp. 6641-6647. ISSN 0003-6935
Preview
TN-Key-space-2007.pdf
Download (1MB) | Preview
Abstract
We perform a numerical analysis on the double random phase encryption∕decryption technique. The key-space of an encryption technique is the set of possible keys that can be used to encode data using that technique. In the case of a strong encryption scheme, many keys must be tried in any brute-force attack on that technique. Traditionally, designers of optical image encryption systems demonstrate only how a small number of arbitrary keys cannot decrypt a chosen encrypted image in their system. However, this type of demonstration does not discuss the properties of the key-space nor refute the feasibility of an efficient brute-force attack. To clarify these issues we present a key-space analysis of the technique. For a range of problem instances we plot the distribution of decryption errors in the key-space indicating the lack of feasibility of a simple brute-force attack.
Item Type: | Article |
---|---|
Keywords: | Key-space analysis; double random phase encryption technique; encryption schemes; |
Academic Unit: | Faculty of Science and Engineering > Computer Science |
Item ID: | 8449 |
Identification Number: | 10.1364/AO.46.006641 |
Depositing User: | Thomas Naughton |
Date Deposited: | 12 Jul 2017 15:55 |
Journal or Publication Title: | Applied Optics |
Publisher: | Optical Society of America |
Refereed: | Yes |
Funders: | Enterprise Ireland, Science Foundation Ireland, Irish Research Council for Science Engineering and Technology (IRCSET) |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/8449 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year