Evolutionary game analysis on competition strategy choice of application providers
Ayong Ye, Junlin Jin, Yang Zhi-jiang, Ziwen Zhao, Lingyu Meng · Concurrency and Computation Practice and Experience · 2019
Summary Modern smartphone platforms offer a multitude of useful features to their users, but at the same time, they highly affect privacy, which may lead to unnecessary personal data being collected. In this paper, we proposed an evolutionary game model to study permission request strategies of the bounded rational application providers. We study the proposed model with detailed simulations. Initial results demonstrate that evolution processes are influenced by four factors: revenue increase ratio, market share, credit cost, and market attraction. It also suggests that establishing a privacy alarm mechanism not only can improve the users' privacy awareness but also decrease the market share when providers over‐request permissions and push them request permissions properly.