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Simple bounds on serial signature analysis aliasing for random testing

机译:串行签名分析别名的简单界限,用于随机测试

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摘要

It is shown that the aliasing probability is bounded above by (1+ epsilon )/L approximately=1/L ( epsilon small for large L) for test lengths L less than the period, L/sub c/, of the signature polynomial; for test lengths L that are multiples of L/sub c/, the aliasing probability is bounded above by 1; for test lengths L greater than L/sub c/ and not a multiple of L/sub c/, the aliasing probability is bounded above by 2/(L/sub c/+1). These simple bounds avoid any exponential complexity associated with the exact computation of the aliasing probability. Simple bounds also apply to signature analysis based on any linear finite state machine (including linear cellular automaton). From these simple bounds it follows that the aliasing probability in a signature analysis design using beta intermediate signatures is bounded by ((1+ epsilon )/sup beta / beta /sup beta /)/L/sup beta /, for beta >L and L/ beta >L/sub c/. By using intermediate signatures the aliasing probability can be substantially reduced.
机译:结果表明,对于小于签名多项式周期L / sub c /的测试长度L,混叠概率的上限为(1+ epsilon)/ L约等于1 / L(对于大L来说,ε小)。对于长度为L / sub c /的倍数的测试长度L,混叠概率的上限为1;对于大于L / sub c /而不是L / sub c /倍数的测试长度L,混叠概率的上限为2 /(L / sub c / + 1)。这些简单的边界避免了与精确计算混叠概率相关的任何指数复杂性。简单界限也适用于基于任何线性有限状态机(包括线性元胞自动机)的签名分析。从这些简单的界限可以得出结论,对于使用beta中间签名的签名分析设计,其混叠概率受((1+ epsilon)/ sup beta / beta / sup beta /)/ L / sup beta /限制,对于beta> L和L / beta> L / sub c /。通过使用中间签名,可以大大降低混叠概率。

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