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A New Adaptable Construction of Modulo Addition with Scalable Security for Stream Ciphers

机译:具有可扩展安全性的流密码的模加法的新适应性构造

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In recent years, attacks involving polynomial cryptanaly-sis have become an important tool in evaluating encryption algorithms involving stream ciphers. Stream cipher designs are difficult to implement since they are prone to weaknesses based on usage, with properties being similar to one-time pad key-stream are subjected to very strict requirements. Contemporary stream cipher designs are highly vulnerable to Algebraic cryptanalysis based on linear algebra, in which the inputs and outputs are formulated as multivariate polynomial equations. Solving a nonlinear system of multivariate equations will reduce complexity, which in turn yields the targeted secret information. Recently, Addition Modulo 2~n has been suggested over logic XOR as a mixing operator to guard against such attacks. However, it has been observed that the complexity of Modulo Addition can be drastically decreased with the appropriate formulation of polynomial equations and probabilistic conditions. A new model for enhanced Addition Modulo is proposed. The framework for the new design is characterized by user-defined expandable security for stronger encryption and does not impose changes in the existing layout for stream ciphers such as SNOW 2.0, BIVIUM, CryptMT, Grain Family, etc. The structure of the proposed design is highly scalable, boosts the Algebraic degree and thwarts the probabilistic conditions by maintaining the original hardware complexity without changing the integrity of the Addition Modulo 2~n.
机译:近年来,涉及多项式密码分析的攻击已成为评估涉及流密码的加密算法的重要工具。流密码设计难以实现,因为它们容易因使用而产生弱点,并且与一次性填充密钥流相似的属性受到非常严格的要求。当代的流密码设计极易受到基于线性代数的代数密码分析的影响,在线性代数中,输入和输出被表示为多元多项式方程。解决多元方程组的非线性系统将降低复杂度,从而产生目标机密信息。近来,已提出在逻辑XOR上使用加法模2〜n作为混合运算符,以防止此类攻击。然而,已经观察到,通过适当地制定多项式方程式和概率条件,可以大大降低模数加法的复杂性。提出了一种新的增强加法模数模型。新设计的框架以用户定义的可扩展安全性为特征,可实现更强的加密,并且不对流密码(例如SNOW 2.0,BIVIUM,CryptMT,Grain Family等)的现有布局进行更改。拟议设计的结构是高度可扩展性,通过保持原始硬件复杂性而无需更改加法模2〜n的完整性,从而提高了代数程度并阻止了概率条件。

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