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Adaptive Density Clustering for Data-Driven Password Mangling Rule Generation
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AI
DOI：10.1016/j.cose.2026.104913.png)
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Abstract
En 中文
• Apply granular-ball computing to password clustering for effective pattern discovery. • Propose a hierarchical mechanism tailored to common password transformation operations. • Outperform existing rule-based methods and discovers novel, complementary rules.
Keywords:
password clustering
granular-ball computing
density clustering
password mangling
rule generation
Journal
C
IF:
5.4
Papers:
189
Citations:
0