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Machine learning based botnet detection with dynamic adaptation
Machine learning based botnet detection with dynamic adaptation
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机译:具有动态自适应功能的基于机器学习的僵尸网络检测
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摘要
Embodiments of the invention address the problem of detecting bots in network traffic based on a classification model learned during a training phase using machine learning algorithms based on features extracted from network data associated with either known malicious or known non-malicious client and applying the learned classification model to features extracted in real-time from current network data. The features represent communication activities between the known malicious or known non-malicious client and a number of servers in the network.
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