Visible to the public Biblio

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2017-12-04
Won, J., Singla, A., Bertino, E..  2017.  CertificateLess Cryptography-Based Rule Management Protocol for Advanced Mission Delivery Networks. 2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW). :7–12.

Assured Mission Delivery Network (AMDN) is a collaborative network to support data-intensive scientific collaborations in a multi-cloud environment. Each scientific collaboration group, called a mission, specifies a set of rules to handle computing and network resources. Security is an integral part of the AMDN design since the rules must be set by authorized users and the data generated by each mission may be privacy-sensitive. In this paper, we propose a CertificateLess cryptography-based Rule-management Protocol (CL-RP) for AMDN, which supports authenticated rule registrations and updates with non-repudiation. We evaluate CL-RP through test-bed experiments and compare it with other standard protocols.

2015-05-06
Xiaoyong Li, Huadong Ma, Feng Zhou, Xiaolin Gui.  2015.  Service Operator-Aware Trust Scheme for Resource Matchmaking across Multiple Clouds. Parallel and Distributed Systems, IEEE Transactions on. 26:1419-1429.

This paper proposes a service operator-aware trust scheme (SOTS) for resource matchmaking across multiple clouds. Through analyzing the built-in relationship between the users, the broker, and the service resources, this paper proposes a middleware framework of trust management that can effectively reduces user burden and improve system dependability. Based on multidimensional resource service operators, we model the problem of trust evaluation as a process of multi-attribute decision-making, and develop an adaptive trust evaluation approach based on information entropy theory. This adaptive approach can overcome the limitations of traditional trust schemes, whereby the trusted operators are weighted manually or subjectively. As a result, using SOTS, the broker can efficiently and accurately prepare the most trusted resources in advance, and thus provide more dependable resources to users. Our experiments yield interesting and meaningful observations that can facilitate the effective utilization of SOTS in a large-scale multi-cloud environment.