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SYNTHESIZING SANITIZATION CODE FOR APPLICATIONS BASED UPON PROBABILISTIC PREDICTION MODEL

机译:基于概率预测模型的应用程序合成卫生代码

摘要

Synthesizing sanitization code for applications based upon a probabilistic prediction model includes receiving a set of applications. The set of applications is partitioned into a first subset of applications and a second subset of applications. The first subset has one or more malicious payloads associated therewith, and the second subset has one or more non-malicious payloads associated therewith. A probabilistic prediction model is computed based upon the malicious payloads associated with the first subset of applications. One or more predicted malicious payloads are predicted from the probabilistic prediction model.
机译:基于概率预测模型为应用程序合成清理代码包括接收一组应用程序。应用程序集合被划分为应用程序的第一子集和应用程序的第二子集。第一子集具有与其相关联的一个或多个恶意有效载荷,并且第二子集具有与其相关联的一个或多个非恶意有效载荷。基于与应用程序的第一子集关联的恶意有效载荷来计算概率预测模型。从概率预测模型预测一个或多个预测的恶意有效载荷。

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