ELECTRONIC DEVICE, ONLINE DOCUMENT-BASED CRIME TYPE DETERMINATION METHOD, AND RECORDING MEDIUM

    公开(公告)号:US20210073256A1

    公开(公告)日:2021-03-11

    申请号:US16817992

    申请日:2020-03-13

    Inventor: Won Joo PARK

    Abstract: An electronic device includes: a communication circuit that communicates with an electronic device; a memory which stores crime term dictionary information and at least one instruction; and a processor functionally connected to the communication circuit and the memory, wherein the processor executes the at least one instruction to: collect crime-related documents from the external electronic device during a first period through the communication circuit; extract crime-related words included in the crime-related documents on the basis of the crime term dictionary information; group the crime-related words on the basis of a designated online non-parametric topic modeling technique to generate topic sets; identify crime types each corresponding to one of the topic sets; and map the crime types to the topic sets and store the topic sets mapped to the crime types in the memory in association with the first period.

    APPARATUS AND METHOD FOR DETECTING MALICIOUS MOBILE APP

    公开(公告)号:US20170169224A1

    公开(公告)日:2017-06-15

    申请号:US15299818

    申请日:2016-10-21

    CPC classification number: G06F21/566 G06F2221/033 G06F2221/2101 H04L63/145

    Abstract: An apparatus for detecting a malicious app. The apparatus may include a collector to collect a mobile app, a static analyzer to extract basic information from the collected mobile app, analyze the basic information of the extracted mobile app, and generate a call flow graph (CFG) of the mobile app, a dynamic analyzer to execute the collected mobile app, expand the CFG of the mobile app, generated by the static analyzer, to a dynamic action-based CFG, and determine a similarity between the expanded CFG and a flow graph that performs a malicious action, and a malicious app determiner to determine whether the collected mobile app is malicious by analyzing the basic information, the CFG, the call flow graph, and the similarity.

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