Security for a Privacy Augmented Collaborative Environment With a Combined Authentication Scheme Encapsulation

The uptake and utility of digital collaboration’s continues to grow as organizations are realizing the diverse range of benefits they provide to not only their organization as a whole but also to individual employees. However, like many information and communication technologies the implementation push often overshadows a proper evaluation of data security and information privacy risks that may be inherent with the technology. This paper details our ongoing research for addressing a number of authentication and personal entity identification issues encountered in digital collaborative architectures. We propose an authentication framework that uniquely combines both traditional and biometric methods of authentication with an additional novel audiovisual method of authentication. Further, the CASE (Combined Authentication Scheme Encapsulation) methodology provides an intuitive privacy protecting visual representation of a member entity’s authentication methods, which is accessible by other member entities for help in assessing the risk of sharing ‘sensitive’ data with other collaboration entities. Key-Words: Authentication, Data Security, Information Privacy, Biometrics, Digital Collaborations