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MALICIOUS BEHAVIOR DETECTION AND MITIGATION IN A DOCUMENT EXECUTION ENVIRONMENT

机译:文档执行环境中的恶意行为检测和缓解

摘要

A document execution engine receives a training set of data representative of incidents of malicious activity within a document execution environment. The training set also includes data representative of remedial actions taken in response to the malicious behavior, and resulting measures of mitigation. The document execution engine trains a machine learned model based on the training set. The trained machine learned model, when applied to activity within the document execution environment, can identify activity that is indicative of malicious behavior. The trained machine learned model can then output recommendations for remedial actions to take in response to the identified malicious activity. The recommended remedial actions can be provided for display to a user of the document execution engine, via a client device of the user.
机译:文档执行引擎接收代表文档执行环境中的恶意活动事件的训练集。 培训集还包括代表针对恶意行为采取的补救措施的数据,并导致缓解措施。 文档执行引擎基于培训集培训机器学习模型。 培训的机器学习模型,当应用于文档执行环境中的活动时,可以识别指示恶意行为的活动。 然后,培训的机器学习模型然后可以为响应于所识别的恶意活动而输出用于补救措施的建议。 通过用户的客户端设备,可以提供推荐的补救措施以显示给文档执行引擎的用户。

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