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PCM A Real-Time Detection System And Method On Flush Reload Attack Using PCM

机译:PCM一种利用PCM实时反冲攻击的实时检测系统和方法

摘要

The present invention relates to a system for detecting a flush+reload cache subchannel attack in real time using a performance counter attack (PCM) and a method thereof. According to the present invention, the method comprises the following steps of: executing a detection module including a detection function for using a metafile learned through machine learning; generating a PCM module and a comma separated values (CSV) file after the detection module is executed; inputting data generated from the CSV file as an input value for machine learning; outputting two kinds of predication values corresponding to the input value through the metafile; and determining the presence of an attack based on the prediction values and providing a notification in accordance with the presence of the attack. The number of data of the CSV file exceeds twenty, the CSV file is initialized. Accordingly, due to simple execution, the method quickly detects the attack in real time to prepare a measure against the attack. Moreover, the method uses machine learning, thereby performing correct prediction during execution of other background modules.
机译:本发明涉及一种使用性能计数器攻击(PCM)实时检测刷新+重载高速缓存子信道攻击的系统及其方法。根据本发明,该方法包括以下步骤:执行包括检测功能的检测模块,该检测功能用于使用通过机器学习获得的元文件。执行检测模块后,生成PCM模块和逗号分隔值文件(CSV);输入从CSV文件生成的数据作为机器学习的输入值;通过图元文件输出与输入值对应的两种谓词值;根据预测值确定攻击的存在,并根据攻击的存在提供通知。 CSV文件的数据数超过20,初始化CSV文件。因此,由于执行简单,该方法快速实时地检测攻击以准备针对攻击的措施。此外,该方法使用机器学习,从而在执行其他背景模块期间执行正确的预测。

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