首页>
外国专利>
Methods and systems for on-device high-granularity classification of device behaviors using multi-label models
Methods and systems for on-device high-granularity classification of device behaviors using multi-label models
展开▼
机译：使用多标签模型对设备行为进行设备上高粒度分类的方法和系统
展开▼
页面导航
摘要
著录项
相似文献
摘要
Various aspects include methods and computing devices implementing the methods for evaluating device behaviors in the computing devices. Aspect methods may include using a behavior-based machine learning technique to classify a device behavior as one of benign, suspicious, and non-benign. Aspect methods may include using one of a multi-label classification and a meta-classification technique to sub-classify the device behavior into one or more sub-categories. Aspect methods may include determining a relative importance of the device behavior based on the sub-classification, and determining whether to perform robust behavior-based operations based on the determined relative importance of the device behavior.
展开▼
