基于信念最小熵的完整性度量
发布时间：2018-11-02 20:36
【摘要】：针对使用不同方式定量地刻画少量可信信息更改的可容忍性问题,通过实例分析比较香农熵、最小熵和信念等度量方式,提出一种能够适用于大多数攻击情形的度量方式.通过将程序建模为通信信道,根据Clarkson建立的信息流完整性模型,在攻击者对系统行为有额外认知的情况下,结合信念和最小熵讨论了完整性的两个重要特征——污染与信道抑制.结果显示当对手的信念与系统相容时可识别对手信念的准确性.
[Abstract]:Aiming at the tolerance problem of quantificationally characterizing a small amount of trusted information changes in different ways, this paper presents a measurement method that can be applied to most attack situations by analyzing and comparing Shannon entropy, minimum entropy and belief. By modeling the program as a communication channel, based on the information flow integrity model established by Clarkson, when the attacker has additional knowledge of the system behavior, Two important features of integrality, pollution and channel suppression, are discussed in combination with belief and minimum entropy. The results show that the accuracy of the opponent's belief can be identified when the opponent's belief is compatible with the system.
【作者单位】： 陕西师范大学计算机科学学院;
【基金】：国家自然科学基金资助项目(61671280,11531009) 陕西省创新人才推进计划(青年科技新星)资助项目(2017KJXX-92)
【分类号】：TP309
，
本文编号：2306881
[Abstract]:Aiming at the tolerance problem of quantificationally characterizing a small amount of trusted information changes in different ways, this paper presents a measurement method that can be applied to most attack situations by analyzing and comparing Shannon entropy, minimum entropy and belief. By modeling the program as a communication channel, based on the information flow integrity model established by Clarkson, when the attacker has additional knowledge of the system behavior, Two important features of integrality, pollution and channel suppression, are discussed in combination with belief and minimum entropy. The results show that the accuracy of the opponent's belief can be identified when the opponent's belief is compatible with the system.
【作者单位】： 陕西师范大学计算机科学学院;
【基金】：国家自然科学基金资助项目(61671280,11531009) 陕西省创新人才推进计划(青年科技新星)资助项目(2017KJXX-92)
【分类号】：TP309
，
本文编号：2306881
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