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UTILIZING HEURISTIC AND MACHINE LEARNING MODELS TO GENERATE A MANDATORY ACCESS CONTROL POLICY FOR AN APPLICATION
UTILIZING HEURISTIC AND MACHINE LEARNING MODELS TO GENERATE A MANDATORY ACCESS CONTROL POLICY FOR AN APPLICATION
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机译:利用启发式和机器学习模型来生成应用程序的强制访问控制策略
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摘要
A device processes, with a model, an application to identify a set of file paths with process identifiers. The device identifies patterns associated with the set of file paths with process identifiers, and determines positions of random elements in each file path of the set of file paths with process identifiers. The device processes the patterns and the positions of the random elements to train a machine learning model, and utilizes the machine learning model to generate a first set of rules to identify files required for execution of the application, and a second set of rules to identify files not required for execution of the application. The device generates a mandatory access control policy based on the first set of rules and the second set of rules, and provides the mandatory access control policy to be implemented by an operating system of a client device.
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