The arrival of the era of big data has made data become an important economic asset, and its security issues have gradually been valued by people. The big data platform usually face many users, traditional access control techniques cannot effectively evaluate whether users are in a trusted state, thus, this paper introduced the concept and method of user portrait and proposed a personalized access control scheme by analyzing the log of hadoop system, tracking user access behavior trajectory, which can protect data security by reasonable authorization.
Li, Jiahui; Zhao, Gang; Wang, Shuai; Liu, Yanzhao; and Chen, Jin, "The Research on personalized Access Control Scheme Based on User Portrait" (2019). WHICEB 2019 Proceedings. 66.