Sequence randomness detection method and device, electronic equipment and storage medium
By dividing the sample set into multiple sample groups and grouping and sorting the detection items according to the average processing speed, and prioritizing the detection of the fastest item groups, the problem of low detection efficiency in existing technologies is solved, and efficient randomness detection is achieved.
CN115576520BActive Publication Date: 2026-05-01GUANGDONG SOUTHERN INFORMATION SECURITY RES INST
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Patent Information
- Application Number
- CN202211286696.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-10-20
- Publication Date
- 2026-05-01
- Estimated Expiration
- 2042-10-20
AI Technical Summary
Technical Problem
Existing randomness detection methods require multiple tests for each sample, resulting in low detection efficiency.
Method used
The sample set is divided into multiple sample groups, and the detection items are grouped and sorted according to the average processing speed. The groups with faster processing speeds are used for detection first. Detection is stopped as soon as a group of items that cannot pass the test is encountered, so as to reduce the number of tests.
Benefits of technology
It improved testing efficiency, reduced testing time, and ensured the accuracy and efficiency of test results.
✦ Generated by Eureka AI based on patent content.
Abstract
The application belongs to the technical field of encryption, and discloses a sequence randomness detection method and device, electronic equipment and a storage medium. The method comprises the following steps: selecting part of sequence samples from each sample group to detect all detection items, so as to calculate the average processing speed of each sample group corresponding to each detection item; for each sample group, grouping the detection items according to the average processing speed to obtain a plurality of item groups, and sorting each item group in descending order according to the average processing speed; for each sample group, the sample group is detected by each item group in turn according to the sorting result of descending order, until the sample group passes the detection of all item groups, or until the sample group fails to pass the detection of an item group, and then the detection process of the sample group is stopped; and whether the randomness of the sample set is qualified is judged according to the detection result of each sample group corresponding to each item group, so as to be beneficial to reducing the detection times, and further beneficial to improving the detection efficiency.
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