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Stateless Multiparty Trust Negotiation Protocol for Distributed Systems

Authors: Maha Ali Allouzi; Javed I. Khan;

Stateless Multiparty Trust Negotiation Protocol for Distributed Systems

Abstract

One of the most challenging problems in managing open distributed systems is specifying and enforcing security policies that regulate communications between peers and access to sensitive credentials. Existing academic research in Trust Management (TM) mainly focuses on establishing trust between two entities using the Automatic Trust Negotiation (ATN). However, real-word authorization processes, such as Service Level Agreement Negotiation (SLA), often involves more than two parties. Decomposition is insufficient to reduce an automated Multiparty Authorization into individual Automated Trust Negotiations, as individual negotiations may depend on one another; therefore, negotiation needs to be concurrent for the negotiation process to succeed. This paper proposes a distributed protocol that performs the trust establishment without a centralized moderator. Along with this protocol, a negotiation resolution algorithm known as Stateless Eager Multiparty Trust Negotiation strategy (SEMTN) is proposed in order to orchestrate the multiparty trust negotiation process. This paper shows that SEMTN is stateless, safe, and complete.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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