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公开(公告)号:US20220131832A1
公开(公告)日:2022-04-28
申请号:US17099797
申请日:2020-11-17
Applicant: INSTITUTE FOR INFORMATION INDUSTRY
Inventor: Chia-Kang HO , Kuan-Lung HUANG , Chia-Min LAI
IPC: H04L29/06
Abstract: A dynamic network feature processing device includes a storage device and a processor. The storage device is configured to store a plurality of malicious feature groups. Each of the malicious feature groups corresponds to a malicious feature, and each of the malicious feature groups includes a plurality of malicious network addresses. The processor is coupled to the storage device. The processor is configured to: acquire an unknown network address of an unknown packet; compare the unknown network address with the malicious feature of each of the malicious feature groups; and filter the unknown packet when determining that the unknown network address matches at least one of the malicious feature of the plurality of malicious feature groups.
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2.
公开(公告)号:US20190156026A1
公开(公告)日:2019-05-23
申请号:US15839378
申请日:2017-12-12
Applicant: Institute For Information Industry
Inventor: Jian-Wei LIAO , Chin-Wei TIEN , Chia-Kang HO
Abstract: A monitor apparatus, method, and non-transitory computer readable storage medium thereof are provided. The monitor method is adapted for an electronic computing apparatus, wherein the electronic computing apparatus stores a smart contract and a blockchain ledger of a blockchain system. The monitor method periodically executes the following steps: (a) obtaining a piece of behavior information of a first electronic apparatus at a time point, (b) retrieving, via the smart contract, a plurality of pieces of previous behavior information within a time interval from the blockchain ledger, wherein the time interval is defined by the time point, and each piece of previous behavior information corresponds to one of a plurality of second electronic apparatuses and the first electronic apparatus, (c) determining a legality of the piece of behavior information according to the pieces of previous behavior information, and (d) writing the behavior information into the blockchain ledger.
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