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PE METHOD AND SYSTEM FOR DETECTING MALWARE GENERATING DISTRORTION-FREE IMAGE OF PE OPCODE FOR AI LEARNING
PE METHOD AND SYSTEM FOR DETECTING MALWARE GENERATING DISTRORTION-FREE IMAGE OF PE OPCODE FOR AI LEARNING
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机译:用于检测用于学习的pe操作码的恶意软件的无失真图像的pe方法和系统
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摘要
A malicious code detection method for generating an image without distortion of malicious code for artificial intelligence learning, comprising the step of generating a learning model, and determining whether an executable file is a malicious code using the learning model, the The step of generating the learning model includes generating a first opcode sequence for a pre-stored normal executable file, generating a second opcode sequence for a pre-stored malware executable file, and using a pre-stored map table. Thus, generating an image file for each of the first and second opcode sequences, and refining the image file for the first opcode sequence and the image file for the second opcode sequence There is provided a method for detecting malicious codes including generating a learning model.
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