Two-stage data encryption using chaotic neural networks

被引:16
作者
Srivastava, Gautam [1 ,3 ]
Kumar, C. N. S. Vinoth [2 ]
Kavitha, V [2 ]
Parthiban, N. [2 ]
Venkataraman, Revathi [2 ]
机构
[1] Brandon Univ, Dept Math & Comp Sci, Brandon, MB, Canada
[2] SRM Inst Sci & Technol, Sch Comp, Dept Comp Sci & Engn, Chennai, Tamil Nadu, India
[3] China Med Univ, Res Ctr Interneural Comp, Taichung, Taiwan
关键词
Encryption; neural networks; cryptography; security; privacy; trust;
D O I
10.3233/JIFS-179543
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Securing a wireless sensor system is a hard task for researchers today. Strengthening the authentication system before connection establishment is the right way to enhance the architecture and also to provide secured communication from eavesdroppers. In this paper, we present a novel algorithm to enhance the security of data using a hybrid model which uses an adaptive encoding technique alongside Chaotic Hopfield Neural Network. The proposed computation upgrades the security of a key shared between any nodes. Our experimental results show that the security of transmitted data is better than traditional algorithms. Moreover, we also show that the computational time for the proposed algorithm is less than known traditional algorithms.
引用
收藏
页码:2561 / 2568
页数:8
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