Hybrid classes of balanced Boolean functions with good cryptographic properties

Khan, Mansoor Ahmed; Özbudak, Ferruh

doi:10.1016/j.ins.2014.02.157

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…In the paper [21] , optimal algebraic immunity construction strategy has been shown using vector spaces and m-sequences. Boolean functions can be presented into two hybrid classes [22]. The magnitude of the inter-class algebraic immunity is maximum.…”

Section: Related Workmentioning

confidence: 99%

A Secure Random Number Generator with Immunity and Propagation Characteristics for Cryptography Functions

et al. 2021

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Cryptographic algorithms and functions should possess some of the important functional requirements such as: non-linearity, resiliency, propagation and immunity. Several previous studies were executed to analyze these characteristics of the cryptographic functions specifically for Boolean and symmetric functions. Randomness is a requirement in present cryptographic algorithms and therefore, Symmetric Random Function Generator (SRFG) has been developed. In this paper, we have analysed SRFG based on propagation feature and immunity. Moreover, NIST recommended statistical suite has been tested on SRFG outputs. The test values show that SRFG possess some of the useful randomness properties for cryptographic applications such as individual frequency in a sequence and block-based frequency, long run of sequences, oscillations from 0 to 1 or vice-versa, patterns of bits, gap bits between two patterns, and overlapping block bits. We also analyze the comparison of SRFG and some existing random number generators. We observe that SRFG is efficient for cryptographic operations in terms of propagation and immunity features.

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Section: Related Workmentioning

confidence: 99%