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Security Analyses of Different LFSR-Based Ciphers to Propose a Novel Approach Compatible with Parallel Computing Platform, Providing Resistance Against Various LFSR-Based Attacks

机译:基于LFSR的CIPHER的安全分析提出了一种与平行计算平台兼容的新方法,提供对各种基于LFSR的攻击抵抗力

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Development of a framework, for generating sets of random numbers which are highly nondeterministic and the dimensional distribution of which is strong, is need of the hour. Applications of pseudorandom numbers are widespread in areas of keying, re-keying, authentication, smart phone security, etc. Their use is central in the network security domain. Hence, developing a cryptographically secure pseudo-random number generator (CSPRNG) would be beneficial. The proposed generic model is constrained to linear feedback shift registers (LFSR), owing to its good statistical properties, large period, well suited to low power or high speed requirements. The use of pseudo-random numbers are high in hardware areas like wireless devices, smart phones, etc. and in stream ciphers, protocol design, etc. in software areas. Hence, the CSPRNG design is compatible to both-hardware and software applications. For software development of the cipher, a parallel computing environment has been chosen because in today's computing trends, multicore processors are superseding the sequential ones; hence the primary engine for processor performance growth is to increase parallelism rather than increasing the clock rate. The paper thus presents the CSPRNG model based on hardware and software co-simulation, using a generic approach. A mathematical model of the PRNG is designed based on above specifications and is mathematically proven to be resistant against various LFSR-based attacks.
机译:框架的开发,用于产生高度非确定的随机数和尺寸分布的随机数,需要一个小时。伪随机数的应用在键控,重新键控,认证,智能手机安全性等领域是普遍的。它们的使用是网络安全域中的中心。因此,开发加密安全的伪随机数发生器(CSPRNG)将是有益的。所提出的通用模型受到线性反馈移位寄存器(LFSR)的约束,由于其良好的统计特性,较大的时期,适用于低功耗或高速要求。在无线设备,智能手机等的硬件区域中使用伪随机数高,在软件领域的流密码,协议设计等中。因此,CSPRNG设计与硬件和软件应用程序兼容。对于密码的软件开发,已选​​择并行计算环境,因为在当今的计算趋势中,多核处理器在序列子中取代;因此,用于处理器性能增长的主要发动机是增加并行性,而不是提高时钟速率。因此,本文使用通用方法呈现了基于硬件和软件共模的CSPRNG模型。 PRNG的数学模型基于上述规格设计,并在数学证明是抵抗各种基于LFSR的攻击。

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