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A trusted control model of subject's behaviors based on static measuring

机译:基于静态测量的受信者行为可信控制模型

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Bugs or even harmful behaviors may not be avoided in some software which is necessary to the user. While the proportion of the code space of such bugs and behaviors to the whole software is exceedingly low, the present malware analysis technology is not fit for the trusted control of such software. For this question, this paper presented a trusted control rule based on the action list as an idealized goal, then a second trusted control rule based on APIs was put forward to meet the engineering needs according to the certainty of workflow, the visibility of code and the computability of assets risk. And a trusted control model of subject's behaviors based on static measuring was setup with the latter rule to monitor the run of the user's necessary software trustily, which will prevent the bugs or even harmful behaviors ahead of schedule and ensure the software function just as the user will.
机译:在某些用户必需的软件中,可能无法避免错误甚至有害行为。虽然此类错误和行为的代码空间在整个软件中所占的比例非常低,但当前的恶意软件分析技术并不适合于此类软件的受信任控制。针对这个问题,本文提出了一种基于动作列表的可信控制规则作为理想的目标,然后根据工作流的确定性,代码的可视性和可操作性,提出了第二种基于API的可信控制规则,以满足工程需求。资产风险的可计算性。并建立了基于静态测量的受信任的主体行为控制模型,并使用后一条规则来可靠地监视用户所需软件的运行,这将防止错误或什至有害行为提前发生,并确保软件像用户一样正常运行将要。

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