- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Black box Neuro-Identifier for RSA and AES Cryptosystems | ||
| Iraqi Journal of Information Technology | ||
| Article 1, Volume 6, Issue 3, 2014, Pages 8-19 | ||
| Authors | ||
| Hamza A. Ali; Namareq Odey | ||
| Abstract | ||
| Black box identification system is a feature of neural networks; hence such system could be utilized for cryptanalysis approach to construct a neuro-identifier. The most widely used and hard to break cryptosystems on the web nowadays are AES and RSA cryptosystems. This paper reports some efforts to incorporate the black box techniques and neuro-identifier for cryptanalysis of these two systems. Theoretical study of a black box model has manifested considerable success in the identification of encryption/decryption keys search. | ||
| Keywords | ||
| Computer Security; Artificial Neural Networks; Cryptanalysis; Neuro; Identifier | ||
|
Statistics Article View: 67 PDF Download: 5 |
||