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AssigneeNpcore, Inc.
InventorsSeung Chul HAN, Hyo Seop BANG, Dong Hwan SUN, Kyung Shin KIM
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Disclosed is a method and device for image-based malware detection, and artificial intelligence-based endpoint detection and response system using same. The method includes the steps of: reading, as bytes of an unsigned integer of constant bits, an executable file or at least a portion of the code of an executable file located in a file path of a generated file obtained from a file generation event log detected in an EDR system or a processor, a memory, or a storage device associated with an endpoint, and converting same into a byte array; reading two bytes at a time from the byte array; using the two bytes of data as coordinates of an image of a preset size to increase a corresponding coordinate value, and adding an RGB channel to store an image array; and performing deep learning analysis using an image deep learning model on the image array.
An image-based malware detection method performed by a malware detection apparatus connected to a computing device, the method comprising:
An image-based malware detection apparatus comprising:
An artificial intelligence-based endpoint detection and response (EDR) system comprising:
Dependencies are inferred from the claim text.