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Ganjalikhan Hakemi, M., Rostami, M. (2024). Image encryption using face biometric and metaheuristic algorithm over blockchain system. Electronic and Cyber Defense, 12(2), 67-83.
MOHAMMAD Ganjalikhan Hakemi; MOHAMMADJAVAD Rostami. "Image encryption using face biometric and metaheuristic algorithm over blockchain system". Electronic and Cyber Defense, 12, 2, 2024, 67-83.
Ganjalikhan Hakemi, M., Rostami, M. (2024). 'Image encryption using face biometric and metaheuristic algorithm over blockchain system', Electronic and Cyber Defense, 12(2), pp. 67-83.
Ganjalikhan Hakemi, M., Rostami, M. Image encryption using face biometric and metaheuristic algorithm over blockchain system. Electronic and Cyber Defense, 2024; 12(2): 67-83.

Image encryption using face biometric and metaheuristic algorithm over blockchain system

پدافند الکترونیکی و سایبری
Article 6, Volume 12, Issue 2 - Serial Number 46, September 2024, Pages 67-83    PDF (1.47 M)
Document Type: Original Article
Authors
MOHAMMAD Ganjalikhan Hakemi1; MOHAMMADJAVAD Rostami* 2
1Master's degree, Shahid Bahaner University, Kerman, Iran
2Associate Professor, Shahid Bahnar University, Kerman, Iran
Receive Date: 27 April 2024,  Revise Date: 19 July 2024,  Accept Date: 02 August 2024 
Abstract
With the expansion of the Internet network and public access to this network, the amount of information and data exchange increases day by day; Therefore, there will be a possibility of unauthorized access to the information that is exchanged. On the other hand, almost all programs that run on the Internet, such as social networks, have full access to images and content stored on the host device; Therefore, there is a possibility of unauthorized access and theft of personal information. Therefore, the security and accuracy of information must be guaranteed. In order to maintain the confidentiality of data, information encryption methods, such as image encryption algorithms, can be used. In the proposed method of this article, the encryption algorithm key is created with the help of information extracted from the person's face, image abstract, and public key so that the encryption algorithm will be highly sensitive to the change of any of the information used in key generation. Lorenz chaos mapping is used for image encryption in the substitution phase. Each color channel of the image is divided into four parts and each part is encrypted using a separate pseudo-random sequence and the encrypted image is produced. In the permutation phase, to achieve the best-encoded image, the genetic heuristic algorithm (GA) is used to bring the pixel correlation value of the encoded image to the minimum possible value by choosing the optimal parameters for the Arnold chaos mapping. According to the obtained results, the correlation values ‌‌ of pixels in all three horizontal, vertical, and diagonal directions are much smaller than other similar presented methods and the encryption algorithm has been able to significantly reduce the correlation and connection between pixels. Also, according to the results of NPCR and UACI differential analysis, it is higher than 99.6% and 33.4% for all the tested images, respectively. Therefore, the proposed method will have high resistance to statistical and differential attacks. Also, for the process of decoding the image, two-step authentication and safe storage of the encryption key are used in the blockchain network.
 
Keywords
Image encryption; Chaos; Genetic algorithm; Blockchain; Face detection; Authentication
Main Subjects
data security
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