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AssigneeWangsu Science & Technology Co., Ltd.
InventorMeifen HUANG
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The present disclosure discloses methods and apparatuses for learning and protecting business logic based on big data. The learning method includes: receiving a network request sent by a requester, recognizing a current request identifier of the network request, and parsing procedure information of the network request; extracting a reference request identifier from the procedure information, determining whether a direction from the reference request identifier to the current request identifier exists in a procedure direction table, and updating the procedure direction table based on a determination result; and distributing tracking code for the network request, where the tracking code includes the current request identifier and a timestamp for distributing the tracking code. The technical solutions provided in the present disclosure can improve efficiency of protecting business logic based on big data, can be applied to various business logic scenarios, and can flexibly adapt to various changes in business logic requirements.
A big-data-based business logic learning method, comprising:
A big-data-based business logic learning apparatus, comprising a processor and a memory storing a computer program therein, while being executed by the processor, the computer program implements the following steps:
A big-data-based business logic protection method, comprising:
A big-data-based business logic protection apparatus, comprising a processor and a memory storing a computer program therein, while being executed by the processor, the computer program implements the following steps:
Dependencies are inferred from the claim text.