针对可执行程序恶意性难以判定的情况,提出一种基于证据推理的程序恶意性判定方法.首先,建立程序恶意性判定模型;然后,通过对程序进行反编译,抽取影响程序安全性的特征,建立程序行为集合;使用BP神经网络对模型进行训练得到各个行为的概...针对可执行程序恶意性难以判定的情况,提出一种基于证据推理的程序恶意性判定方法.首先,建立程序恶意性判定模型;然后,通过对程序进行反编译,抽取影响程序安全性的特征,建立程序行为集合;使用BP神经网络对模型进行训练得到各个行为的概率分配函数BPAF(basic probability assignment functions),并使用加权和形式的合成法则对程序行为进行合成;最后,实现对程序恶意性的判定.实验结果表明了该方法的有效性.展开更多
Purpose-Prominent at the intersections of national educational agencies,higher education,and international educational performance assessments are two reform standards:“benchmarks”determining optimal student perform...Purpose-Prominent at the intersections of national educational agencies,higher education,and international educational performance assessments are two reform standards:“benchmarks”determining optimal student performance,and“empirical evidence”for determining the quality of reform practices.These two notions are often taken as connecting policy and research to effective changes in many countries.The article examines the historical and cultural principles about educational change and its sciences embedded in these standards through examining OECD’s PISA and the McKinsey&Company reports that draw on PISA’s data.Findings/Originality/Value-First,the reports express salvation themes associated with modernity;that is,the promise of a better future through governing the present.The promise is to provide nations with data and models to achieve social equality,economic prosperity,and a participatory democracy.Second,the promise of the future is not descriptive of some present reality but to fabricate the universal characteristics about society and individuals.The numbers embody social and psychological categories about a desired unity of all students.Third,the“empirical evidence”of the international assessment entails a particular notion of science and“evidence”;one that paradoxically uses the universals in comparing and creating divisions.展开更多
文摘针对可执行程序恶意性难以判定的情况,提出一种基于证据推理的程序恶意性判定方法.首先,建立程序恶意性判定模型;然后,通过对程序进行反编译,抽取影响程序安全性的特征,建立程序行为集合;使用BP神经网络对模型进行训练得到各个行为的概率分配函数BPAF(basic probability assignment functions),并使用加权和形式的合成法则对程序行为进行合成;最后,实现对程序恶意性的判定.实验结果表明了该方法的有效性.
文摘Purpose-Prominent at the intersections of national educational agencies,higher education,and international educational performance assessments are two reform standards:“benchmarks”determining optimal student performance,and“empirical evidence”for determining the quality of reform practices.These two notions are often taken as connecting policy and research to effective changes in many countries.The article examines the historical and cultural principles about educational change and its sciences embedded in these standards through examining OECD’s PISA and the McKinsey&Company reports that draw on PISA’s data.Findings/Originality/Value-First,the reports express salvation themes associated with modernity;that is,the promise of a better future through governing the present.The promise is to provide nations with data and models to achieve social equality,economic prosperity,and a participatory democracy.Second,the promise of the future is not descriptive of some present reality but to fabricate the universal characteristics about society and individuals.The numbers embody social and psychological categories about a desired unity of all students.Third,the“empirical evidence”of the international assessment entails a particular notion of science and“evidence”;one that paradoxically uses the universals in comparing and creating divisions.
