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SYSTEMS AND METHODS FOR DYNAMICALLY LEARNING NETWORK ENVIRONMENTS TO ACHIEVE ADAPTIVE SECURITY

机译:动态学习网络环境以实现自适应安全性的系统和方法

摘要

Systems and methods for dynamically learning network environments to achieve adaptive security are described. One described method for setting an adaptive threshold for a node includes: monitoring a data stream associated with the node to identify a characteristic of the node; monitoring an environmental factor capable of affecting the node; and determining the adaptive threshold based on at least one of the characteristic or the environmental factor. Another described method for dynamically assessing a risk associated with network traffic includes: identifying a communication directed at the node; determining a risk level associated with the communication; and comparing the risk level to the adaptive threshold.
机译:描述了用于动态学习网络环境以实现自适应安全性的系统和方法。描述的一种用于设置节点的自适应阈值的方法包括:监视与该节点相关联的数据流以识别该节点的特性;监视能够影响节点的环境因素;根据所述特征或环境因素中的至少一项确定所述自适应阈值。所描述的用于动态评估与网络流量相关联的风险的另一种方法包括:识别针对该节点的通信;确定与沟通有关的风险等级;并将风险水平与自适应阈值进行比较。

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