Bilgi Güvenliği için Nörol Çözümler

Home Page
About
Submit A Journal
Submit A Conference
Submit Paper/Book
- Submit a Preprint
- Submit a Book
Contact

Politeknik Dergisi
Volume:10 Issue:1 - Volume:10 Issue:1
Bilgi Güvenliği için Nörol Çözümler

Bilgi Güvenliği için Nörol Çözümler

Authors : Şeref SAĞIROĞLU, Necla ÖZKAYA

Pages : 21-25

View : 45 | Download : 11

Publication Date : 2007-03-01

Article Type : Research Paper

Abstract :This paper presents a new approach based on artificial neural networks insert ignore into journalissuearticles values(ANNs); for data security in electronic communication. Two ANN modules were used for encryption and decryption. ANN modules were trained with Levenberg-Marquardt learning algorithm. Character based learning and test processes were followed. A program developed in Delphi achieves the processes automatically. The results have shown that the cryptosystem based on ANNs is very successful and also provides more security with the help of adding an extra module. It is thought that the study presented in this work will enable new directions to the applications because of real-time application of ANNs.
Keywords : yapay sinir ağları, bilgi güvenliği, şifreleme, şifre çözme, güvenlik

ORIGINAL ARTICLE URL

* There may have been changes in the journal, article,conference, book, preprint etc. informations. Therefore, it would be appropriate to follow the information on the official page of the source. The information here is shared for informational purposes. IAD is not responsible for incorrect or missing information.