Survey on computational intelligence based image encryption techniques
| Autor: | Joseph Emerson Raja, Thirumalaimuthu T. Ramanathan, Md. Shohel Sayeed, Md. Jakir Hossen |
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| Rok vydání: | 2020 |
| Předmět: |
Control and Optimization
Computer Networks and Communications Computer science Visual cryptography Computational intelligence Cryptography computer.software_genre Encryption Fuzzy logic Image encryption Genetic algorithm Cryptosystem Electrical and Electronic Engineering Artificial neural network business.industry Neural network Hardware and Architecture Signal Processing Key (cryptography) Data mining business computer Information Systems |
| Popis: | Image encryption is an important area in visual cryptography that helps in protecting images when shared through internet. There is lot of cryptography algorithms applied for many years in encrypting images. In the recent years, artificial intelligence techniques are combined with cryptography algorithms to support image encryption. Some of the benefits that artificial intelligence techniques can provide are prediction of possible attacks on cryptosystem using machine learning algorithms, generation of cryptographic keys using optimization algorithms, etc. Computational intelligence algorithms are popular in enhancing security for image encryption. The main computational intelligence algorithms used in image encryption are neural network, fuzzy logic and genetic algorithm. In this paper, a review is done on computational intelligence-based image encryption methods that have been proposed in the recent years and the comparison is made on those methods based on their performance on image encryption. |
| Databáze: | OpenAIRE |
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