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    • 3. 发明申请
    • INDEX-BASED CODING WITH A PSEUDO-RANDOM SOURCE
    • 基于索引的编码与PSEUDO随机源
    • US20110033041A1
    • 2011-02-10
    • US12850693
    • 2010-08-05
    • Meng-Day YuSrinivas Devadas
    • Meng-Day YuSrinivas Devadas
    • H04L9/28G06F11/07
    • G06F11/10H04L9/0662H04L9/3278H04L2209/34
    • Outputs from at least one pseudo-random source are used to encode hidden value. The hidden value is encoded using index based quantities, for example, based on numerically ordering a sequence of outputs from pseudo-random source(s). In some examples, the numerical ordering of re-generated device-specific quantities is used to re-generate the hidden value, without necessarily requiring additional error correction mechanisms. Information leak may be reduced by constructing system whose “syndrome” helper bits are random, as measured, for example, by NIST's Statistical Tests for Randomness In some examples, index based coding provides coding gain that exponentially reduces total error correction code complexity, resulting in efficiently realizable PRS-based key generation systems. In some examples, index based coding allows noisy PRS to be robust across conditions where conventional error correction code cannot error correct.
    • 来自至少一个伪随机源的输出用于对隐藏值进行编码。 隐藏值使用基于索引的量来编码,例如,基于从伪随机源的输出序列的数值排序。 在一些示例中,重新生成的设备特定量的数值排序用于重新生成隐藏值,而不需要额外的纠错机制。 信息泄漏可以通过构建其“综合征”辅助位是随机的系统来减少,例如,通过NIST的随机统计测试来测量。在一些示例中,基于索引的编码提供指数地降低总纠错码复杂度的编码增益,导致 有效实现的基于PRS的密钥生成系统。 在一些示例中,基于索引的编码允许有噪声的PRS在常规纠错码不能正确错误的情况下是稳健的。
    • 4. 发明授权
    • Index-based coding with a pseudo-random source
    • 具有伪随机源的基于索引的编码
    • US08811615B2
    • 2014-08-19
    • US12850693
    • 2010-08-05
    • Meng-Day YuSrinivas Devadas
    • Meng-Day YuSrinivas Devadas
    • H04L9/00
    • G06F11/10H04L9/0662H04L9/3278H04L2209/34
    • Outputs from at least one pseudo-random source are used to encode hidden value. The hidden value is encoded using index based quantities, for example, based on numerically ordering a sequence of outputs from pseudo-random source(s). In some examples, the numerical ordering of re-generated device-specific quantities is used to re-generate the hidden value, without necessarily requiring additional error correction mechanisms. Information leak may be reduced by constructing system whose “syndrome” helper bits are random, as measured, for example, by NIST's Statistical Tests for Randomness In some examples, index based coding provides coding gain that exponentially reduces total error correction code complexity, resulting in efficiently realizable PRS-based key generation systems. In some examples, index based coding allows noisy PRS to be robust across conditions where conventional error correction code cannot error correct.
    • 来自至少一个伪随机源的输出用于对隐藏值进行编码。 隐藏值使用基于索引的量来编码,例如,基于从伪随机源的输出序列的数值排序。 在一些示例中,重新生成的设备特定量的数值排序用于重新生成隐藏值,而不需要额外的纠错机制。 信息泄漏可以通过构建其“综合征”辅助位是随机的系统来减少,例如,通过NIST的随机统计测试来测量。在一些示例中,基于索引的编码提供指数地降低总纠错码复杂度的编码增益,导致 有效实现的基于PRS的密钥生成系统。 在一些示例中,基于索引的编码允许有噪声的PRS在常规纠错码不能正确错误的情况下是稳健的。
    • 5. 发明授权
    • Combination of values from a pseudo-random source
    • 来自伪随机源的值的组合
    • US08468186B2
    • 2013-06-18
    • US12850849
    • 2010-08-05
    • Meng-Day Yu
    • Meng-Day Yu
    • G06F7/58
    • G06F7/582H04L9/3278H04L2209/34H04L2209/805
    • Values generated by at least one pseudo-random source (PRS) are recombined to form one or more recombined values. The method involves using analog, digital, or hybrid manipulation techniques to transform characteristics of PRS, including but not limited to statistical characteristics, and input/output characteristics. In some examples, the recombination method provides a way to de-bias output bits from PRS without appreciable increase in self noise. In some examples, the recombined result passes NIST's Statistical Tests for Randomness even if underlying PRS natively does not. In some examples, the recombination method provides a way to make a PRS challengeable, even if the underlying PRS is not natively challengeable. In some examples, recombination is used to allow single PRS to have multiple outputs, and in some cases multi-dimensional (orthogonal) outputs. In some examples, a multi-modal system is created via recombination using multiple PRS. In some examples, post recombined result exhibit super error characteristics (prior to application of any error correction codes) compared to native PRS output. In some examples, the recombined values are applied to security applications, for instance authentication and/or cryptographic functions, which may provide improved characteristics (e.g., cryptographic strength) in view of a de-biased output which in some examples also passes NIST's Statistical Tests.
    • 由至少一个伪随机源(PRS)产生的值被重组以形成一个或多个重组值。 该方法涉及使用模拟,数字或混合操纵技术来改变PRS的特征,包括但不限于统计特性以及输入/输出特性。 在一些示例中,重组方法提供了一种从PRS去偏置输出位而不明显增加自噪声的方法。 在一些示例中,重组结果通过了NIST的随机统计测试,即使基础PRS本身也没有。 在一些示例中,重组方法提供了使PRS成为可疑的方法,即使潜在的PRS本身不是可挑战的。 在一些示例中,复合用于允许单个PRS具有多个输出,并且在一些情况下为多维(正交)输出。 在一些示例中,通过使用多个PRS的重组来创建多模态系统。 在一些示例中,与原始PRS输出相比,后重组结果表现出超错误特性(在应用任何纠错码之前)。 在一些示例中,重新组合的值被应用于安全性应用,例如认证和/或加密功能,其可以提供改进的特性(例如,加密强度),这是鉴于偏偏的输出,在一些示例中,输出也通过NIST的统计测试 。
    • 7. 发明申请
    • COMBINATION OF VALUES FROM A PSEUDO-RANDOM SOURCE
    • 从PSEUDO随机源组合价值
    • US20110066670A1
    • 2011-03-17
    • US12850849
    • 2010-08-05
    • Meng-Day Yu
    • Meng-Day Yu
    • G06F7/58
    • G06F7/582H04L9/3278H04L2209/34H04L2209/805
    • Values generated by at least one pseudo-random source (PRS) are recombined to form one or more recombined values. The method involves using analog, digital, or hybrid manipulation techniques to transform characteristics of PRS, including but not limited to statistical characteristics, and input/output characteristics. In some examples, the recombination method provides a way to de-bias output bits from PRS without appreciable increase in self noise. In some examples, the recombined result passes NIST's Statistical Tests for Randomness even if underlying PRS natively does not. In some examples, the recombination method provides a way to make a PRS challengeable, even if the underlying PRS is not natively challengeable. In some examples, recombination is used to allow single PRS to have multiple outputs, and in some cases multi-dimensional (orthogonal) outputs. In some examples, a multi-modal system is created via recombination using multiple PRS. In some examples, post recombined result exhibit super error characteristics (prior to application of any error correction codes) compared to native PRS output. In some examples, the recombined values are applied to security applications, for instance authentication and/or cryptographic functions, which may provide improved characteristics (e.g., cryptographic strength) in view of a de-biased output which in some examples also passes NIST's Statistical Tests.
    • 由至少一个伪随机源(PRS)产生的值被重组以形成一个或多个重组值。 该方法涉及使用模拟,数字或混合操纵技术来改变PRS的特征,包括但不限于统计特性以及输入/输出特性。 在一些示例中,重组方法提供了一种从PRS去偏置输出位而不明显增加自噪声的方法。 在一些示例中,重组结果通过了NIST的随机统计测试,即使基础PRS本身也没有。 在一些示例中,重组方法提供了使PRS成为可疑的方法,即使潜在的PRS本身不是可挑战的。 在一些示例中,复合用于允许单个PRS具有多个输出,并且在一些情况下为多维(正交)输出。 在一些示例中,通过使用多个PRS的重组来创建多模态系统。 在一些示例中,与原始PRS输出相比,后重组结果表现出超错误特性(在应用任何纠错码之前)。 在一些示例中,重新组合的值被应用于安全性应用,例如认证和/或加密功能,其可以提供改进的特性(例如,加密强度),这是鉴于偏偏的输出,在一些示例中,输出也通过NIST的统计测试 。