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Two-stage data encryption using chaotic neural networks.
- Source :
-
Journal of Intelligent & Fuzzy Systems . 2020, Vol. 38 Issue 3, p2561-2568. 8p. - Publication Year :
- 2020
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *DATA encryption
*IMAGE encryption
*HOPFIELD networks
*TARDINESS
*DATA security
Subjects
Details
- Language :
- English
- ISSN :
- 10641246
- Volume :
- 38
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Journal of Intelligent & Fuzzy Systems
- Publication Type :
- Academic Journal
- Accession number :
- 142106218
- Full Text :
- https://doi.org/10.3233/JIFS-179543