An anomaly detection method based on data stream analysis
A data flow analysis and anomaly detection technology, which is applied in the direction of electrical digital data processing, error detection/correction, software testing/debugging, etc., can solve problems such as interference of data flow test results, and achieve the effect of solving quality assurance and ensuring correctness
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[0020] Such as figure 1 As shown, an anomaly detection method based on data flow analysis includes the following steps:
[0021] (1) Using the extended control flow graph XCFG to abstractly describe the BPEL process;
[0022] (2) Analyze the data flow of the BPEL process based on XCFG;
[0023] (3) Detect whether there is -u abnormality in the BPEL process based on the data flow analysis result;
[0024] (4) Detect whether there is d-abnormality in the BPEL process based on the data flow analysis results.
[0025] Such as figure 2 As shown, in step (1), the specific method of using the extended control flow graph XCFG to abstractly describe the BPEL process is as follows: parse BPEL into a BPEL object model BOM; based on the BOM, use XCFG elements PL and V to describe partner links and variables in BPEL; Traverse the active objects in the BOM model, create XCFG nodes to represent BPEL activities, and create XCFG edges E according to the semantics of BPEL structured activi...
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