Neural Solutions for Information Security

Year 2007, Volume: 10 Issue: 1 - Volume: 10 Issue: 1, 21 - 25, 01.03.2007

Şeref Sağıroğlu Necla Özkaya

Abstract

This paper presents a new approach based on artificial neural networks (ANNs) for data security in electronic communication. Two ANN modules were used for encryption and decryption. ANN modules were trained with LevenbergMarquardt 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

artificial neural network , information security , encryption , decryption , security

Bilgi Güvenliği için Nörol Çözümler

Abstract

This paper presents a new approach based on artificial neural networks (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