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DETECTING ROBOTIC INTERNET ACTIVITY ACROSS DOMAINS UTILIZING ONE-CLASS AND DOMAIN ADAPTATION MACHINE-LEARNING MODELS
DETECTING ROBOTIC INTERNET ACTIVITY ACROSS DOMAINS UTILIZING ONE-CLASS AND DOMAIN ADAPTATION MACHINE-LEARNING MODELS
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机译:利用一类和域自适应机器学习模型来检测跨域的机器人互联网活动
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摘要
Methods, systems, and non-transitory computer readable storage media are disclosed for detecting robotic activity while monitoring Internet traffic across a plurality of domains. For example, the disclosed system identifies network session data for each domain of a plurality of domains, the network session data including network sessions comprising features that indicate human activity. In one or more embodiments, the disclosed system generates a classifier to output a probability that a network session at a domain includes human activity. In one or more embodiments, the disclosed system also generates a classifier to output a probability that a network session includes good robotic activity. Additionally, the disclosed system generates a domain-agnostic machine-learning model by combining models from a plurality of domains with network sessions including human activity.
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