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Analysis of security risk control of mobile application under BYOD scenario using in energy enterprises

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Abstract 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.
Title: Analysis of security risk control of mobile application under BYOD scenario using in energy enterprises
Description:
Abstract 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.

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