Multi-user permission strategy to access sensitive information
Exfiltration of sensitive data and intellectual property theft have increased to a significant level affecting both government agencies as well as small to large businesses. One of the major reasons of data breaches is malicious insiders who have the access rights, knowledge of data values and technical know-how of escalating their privileges in launching such insider attacks. Traditional access control policies (to shared data and computing resources) were evolved around the trust on legitimate users’ access rights (read, write and execute) based on their jobs and role hierarchy in an organization. However, such access privileges are increasingly being misused by hostile, oblivious, rouge and pseudo-insiders. This work introduces a multi-user permission strategy and formulates a methodology for shared-trustworthy access (to classified data and services) by considering organizational structure. Accordingly, based on the sensitivity of the information being requested by a user, approvers are selected dynamically to reflect the work environment such as mobility, use of the device, access policy, etc. For this purpose, the proposed methodology first generates an access control graph, based on inter-relationship among employees and their roles in an organization. Next, it generates a set of permission grantees who are allowed to approve the access request of a user at a given time. The proposed multi-user permission strategy is evaluated with two empirical datasets and reported results demonstrated its ability in selecting non-repetitive approvers for a user access under different organizational and environmental constraints.
Dasgupta, D., Roy, A., & Ghosh, D. (2018). Multi-user permission strategy to access sensitive information. Information Sciences, 423, 24-49. https://doi.org/10.1016/j.ins.2017.09.039