An Performance Analysis of RSA Scheme Using Artificial Neural Network

被引:0
|
作者
Chakraborty, Moumita [1 ]
Jana, Bappaditya [2 ]
Mandal, Tamoghna [2 ]
Kule, Malay [3 ]
机构
[1] Chaibasa Engn Coll, Techno India Grp, Dept Comp Sci & Engn, Chaibasa, Jharkhand, India
[2] Techno India Banipur, Dept Comp Sci & Engn, Banipur, W Bengal, India
[3] Indian Inst Engn Sci & Technol, Dept Comp Sci & Technol, Sibpur, India
关键词
encryption; decryption; learning; training; back propagation;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Cryptography is an art of science for secret writing as well as secret communication. In cryptography a message is converted to a cipher text by encryption and reverse back to plain text by decryption. Although many cryptographic algorithms are available in symmetric key cryptosystem as well as public key crypto system but still now no efficient algorithms are not available for a secure communications. In public key cryptography, RSA encryption technique is a most popular as well as a stronger encryption technique. But major disadvantage of RSA scheme is large key size which gets more execution time and increases complexity of the computation. In this paper we have analyzed the performance of Artificial Neural Network(ANN) based RSA technique to optimize the execution time of RSA. From simulation results it is shown that neural network based RSA provides better results than Standard RSA scheme.
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页数:5
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