Survey on computational intelligence based image encryption techniques


Ramanathan, Thirumalaimuthu and Hossen, Md. Jakir and Sayeed, Md. Shohel and Emerson Raja, Joseph (2020) Survey on computational intelligence based image encryption techniques. Indonesian Journal of Electrical Engineering and Computer Science, 19 (3). p. 1428. ISSN 2502-4752

[img] Text
Restricted to Repository staff only

Download (368kB)


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.

Item Type: Article
Uncontrolled Keywords: Fuzzy logic, Genetic algorithm, Image encryption, Neural network Visual cryptography
Subjects: Q Science > QA Mathematics > QA1-43 General
Divisions: Faculty of Engineering and Technology (FET)
Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 13 Dec 2020 11:50
Last Modified: 13 Dec 2020 11:50


Downloads per month over past year

View ItemEdit (login required)