Titlebook: Deployable Machine Learning for Security Defense; Second International Gang Wang,Arridhana Ciptadi,Ali Ahmadzadeh Conference proceedings 20

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书目名称Deployable Machine Learning for Security Defense被引频次




书目名称Deployable Machine Learning for Security Defense被引频次学科排名




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书目名称Deployable Machine Learning for Security Defense年度引用学科排名




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书目名称Deployable Machine Learning for Security Defense读者反馈学科排名

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: A Simple, yet Effective Deep Learning Approach to Android Malware Detection Based on Image Represee formats thus appear attractive to other fields such as malware detection, where deep learning on images alleviates the need for comprehensively hand-crafted features generalising to different malware variants. We postulate that this research direction could become the next frontier in Android malw

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Attacks on Visualization-Based Malware Detection: Balancing Effectiveness and Executabilitye detection. By converting binary code into images, researchers have shown satisfactory results in applying machine learning to extract features that are difficult to discover manually. Such visualization-based malware detection methods can capture malware patterns from many different malware famili

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A Survey on Common Threats in npm and PyPi Registriesveral frameworks to facilitate automation tasks further. Some of these frameworks are Node Manager Package (npm) and Python Package Index (PyPi), which are open source (OS) package libraries. The public registries npm and PyPi use to host packages allow any user with a verified email to publish code

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/265762.jpg

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