Dynamic Multiparty Authentication of Data Analytics Services within Cloud Environments [article]

Hussain Al-Aqrabi, Richard Hill
<span title="2019-01-10">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Business analytics processes are often composed from orchestrated, collaborating services, which are consumed by users from multiple cloud systems (in different security realms), which need to be engaged dynamically at runtime. If heterogeneous cloud systems located in different security realms do not have direct authentication relationships, then it is a considerable technical challenge to enable secure collaboration. In order to address this security challenge, a new authentication framework
more &raquo; ... s required to establish trust amongst business analytics service instances and users by distributing a common session secret to all participants of a session. We address this challenge by designing and implementing a secure multiparty authentication framework for dynamic interaction, for the scenario where members of different security realms express a need to access orchestrated services. This novel framework exploits the relationship of trust between session members in different security realms, to enable a user to obtain security credentials that access cloud resources in a remote realm. The mechanism assists cloud session users to authenticate their session membership, thereby improving the performance of authentication processes within multiparty sessions. We see applicability of this framework beyond multiple cloud infrastructure, to that of any scenario where multiple security realms has the potential to exist, such as the emerging Internet of Things (IoT).
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1901.03051v1">arXiv:1901.03051v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y4j5yk3nkfattlgunqwl6qqxt4">fatcat:y4j5yk3nkfattlgunqwl6qqxt4</a> </span>
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