Ahmed M. Ayoup^1,*, Ashraf A. M. Khalaf¹, Fahad Alraddady², Fathi E. Abd El-Samie³, Walid El-Safai^3,5, Salwa M. Serag Eldin^2,4

Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 549-565, 2022, DOI:10.32604/iasc.2022.024379

Abstract This article introduces a new cancellable multi-biometric system based on the combination of a selective encryption method and a deep-learning-based fusion technology. The biometric face image is treated with an automatic face segmentation algorithm (Viola-Jones), and the image of the selected eye is XORed with a PRNG (Pseudo Random Number Generator) matrix. The output array is used to create a primary biometric template. This process changes the histogram of the selected eye image. Arnold’s Cat Map is used to superimpose the PRN pixels only on the pixels of the primary image. Arnold’s cat map deformed eyes are encrypted using the… More >

T. Kowsalya¹, R. Ganesh Babu², B. D. Parameshachari³, Anand Nayyar⁴, Raja Majid Mehmood^5,*

CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1447-1465, 2021, DOI:10.32604/cmc.2021.014606

Abstract Lightweight Cryptography (LWC) is widely used to provide integrity, secrecy and authentication for the sensitive applications. However, the LWC is vulnerable to various constraints such as high-power consumption, time consumption, and hardware utilization and susceptible to the malicious attackers. In order to overcome this, a lightweight block cipher namely PRESENT architecture is proposed to provide the security against malicious attacks. The True Random Number Generator-Pseudo Random Number Generator (TRNG-PRNG) based key generation is proposed to generate the unpredictable keys, being highly difficult to predict by the hackers. Moreover, the hardware utilization of PRESENT architecture is optimized using the Dual port… More >