Open AccessAnalysis of security risk control of mobile application under BYOD scenario using in energy enterprises
Author(s) -
Wenjie Zhang,
Wei Li,
Zheng Li,
Yubo Liu,
Zhiru Zhang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/512/1/012015
Subject(s) - bring your own device , popularity , mobile device , access control , computer science , computer security , confidentiality , reliability (semiconductor) , control (management) , internet privacy , risk analysis (engineering) , business , world wide web , psychology , social psychology , power (physics) , physics , quantum mechanics , artificial intelligence
In recent years, with the popularity of bring your own device (BYOD), energy employees have tended to use personal mobile devices to access company resources. The use of the same device to access both corporate and personal data introduces new security threats, such as the disclosure of confidential corporate data. Existing BYOD solutions lack multi-entity management, role-based access control (RBAC) support. Therefore cannot address the critical issue of external enterprise collaboration when the same device needs to access the resources of multiple companies. Based on this, security risk control of mobile applications in BYOD scenario is carried out in this paper. A face in vivo detection algorithm based on FLGS is proposed to improve the reliability of face recognition on current BYOD mobile devices.