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Recently, many nonlinear systems have been proposed to introduce the population dynamics of COVID-19. In this paper, we extend different physical conditions of the growth by employing fractional calculus. We propose a new fractional-order version for one of recently forms of the SEIR model. This version, which is established in view of the Caputo fractional-order differential operator, is numerically solved based on the Generalized Euler Method (GEM). Several numerical results reveal the impact of the fractional-order values on the established disease model. To help make a decline in the total of individuals infected by such pandemic, a new compartment is added to the proposed model; namely, the disease prevention compartment that includes the use of face masks, gloves and sterilizers. In view of such modification, it turned out that the performed addition to the fractional-order COVID-19 model yields a significant improvement in reducing the risk of COVID-19 spread. [ABSTRACT FROM AUTHOR]

Cryptosystems relying on chaotic maps have been presented lately. As a result of inferred and convenient connections amongst the attributes of conventional cryptosystems and chaotic frameworks, the concept of chaotic systems with applications to cryptography has earned much consideration from scientists working in the various domains. Hence, we suggest a novel IDentitybased Blind Signature (ID-BS) based technique in this paper that relies on a pair of hard number theoretic problems, namely, the Chaotic Maps (CM) and FACtoring (FAC) problems. The technique is immune to attacks, in addition to its efficiency in application. Relative to other related schemes, it requires fewer module operations. In summary, our proposed technique is superior to similar schemes within the cryptosystems domain. [ABSTRACT FROM AUTHOR]