Method, device, and computer program product for abnormality detection

An electronic device, comprising:

• at least one processor;
• and
• at least one memory storing computer instructions, which when executed by the at least one processor, cause the at least one processor to perform actions comprising:
• acquiring information related to a target request initiated by a client terminal to an application and at least one context request, the information at least indicating the type and initiation time of the target request and the type and initiation time of the at least one context request;
• converting the acquired information into a vectorized feature representation for the target request;
• and
• determining an abnormality detection result of the target request based on the vectorized feature representation and using an abnormality detection model, the abnormality detection result indicating whether the target request is an abnormal request, and the abnormality detection model characterizing a correlation between a vectorized feature representation for a request and an abnormality detection result.

A computer program product stored on a non-transitory computer-readable medium and comprising computer-executable instructions, which when executed by a processor, cause the processor to perform actions comprising:

• acquiring information related to a target request initiated by a client terminal to an application and at least one context request, the information at least indicating the type and initiation time of the target request and the type and initiation time of the at least one context request;
• converting the acquired information into a vectorized feature representation for the target request;
• and
• determining an abnormality detection result of the target request based on the vectorized feature representation and using an abnormality detection model, the abnormality detection result indicating whether the target request is an abnormal request, and the abnormality detection model characterizing a correlation between a vectorized feature representation for a request and an abnormality detection result.