A Method for Determination of Excessive Privacy Information Collection Behavior of Enterprise Apps Based on Process Algebra
Abstract
In response to the problem of excessive collection of privacy information in enterprise apps, a method for determining excessive collection behavior based on process algebra was proposed. Firstly, based on the classification of commonly used privacy information in enterprise apps, a set of privacy information collection behavior characteristics for enterprise apps was constructed. Then, process algebra was introduced to construct the expected and actual operational behavior models for privacy information collection in enterprise apps. Finally, the concepts of strong simulation and strong equivalence are used to determine whether there is excessive collection behavior in the enterprise app. The feasibility and effectiveness of the method were verified through experiments on the personal information improvement function in actual cases and the 25 main functions of example enterprise app.
Fields of Study & Subjects
Privacy
Security
and Data Protection
Privacy-Preserving Technologies in Data
Business Process Modeling and Analysis
Publication details
- Journal / source
- Frontiers in artificial intelligence and applications
- Publication date
- 4 February 2026
- Language
- EN
- Document type
- Book chapter