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Information leakage minimization using a negative information flow based confidentiality policy

机译:使用基于否定信息流的机密策略使信息泄漏最小化

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Recently, quantitative analysis of information flow and information leakage is widely used to decide the threshold of the leakage of information in the computing system. As a result, quantitative analysis based confidentiality policies are also used to protect the information in a computing system. In the present work, one such policy, negative information flow based confidentiality policy and its drawbacks have been discussed. To eliminate the drawbacks of negative information flow policy, a new confidentiality policy has been proposed in the present work. The proposed policy is based on the noise that can be imposed on the system in a controlled way without changing significant system behavior and reliability. The algorithm which can calculate the amount of noise that can be imposed on the computing system without affecting the system reliability is also discussed in the present work.
机译:近来,对信息流和信息泄漏的定量分析被广泛用于确定计算系统中信息泄漏的阈值。结果,基于定量分析的机密性策略也被用来保护计算系统中的信息。在本工作中,已经讨论了一种这样的策略,基于负面信息流的保密策略及其缺点。为了消除负面信息流策略的弊端,在当前工作中提出了一种新的保密策略。提议的策略基于可以以受控方式施加在系统上的噪声,而不会改变系统的显着行为和可靠性。在本工作中还讨论了可以计算可施加到计算系统上的噪声量而不影响系统可靠性的算法。

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