A Method for Determination of Excessive Privacy Information Collection Behavior of Enterprise Apps Based on Process Algebra

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Authors: Hui Li, Huang Liming, Mengguo Li, Dingxin Tian, Quanxu Fu, Yiran Ma, Rui Huang
Cited by: 0

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