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Cloud computing is an opened and distributed network that guarantees accessto a large amount of data and IT infrastructure at several levels (software,hardware...). With the increase demand, handling clients' needs is gettingincreasingly challenging. Responding to all requesting clients could lead tosecurity breaches, and since it is the provider's responsibility to secure notonly the offered cloud services but also the data, it is important to ensureclients reliability. Although filtering clients in the cloud is not so common,it is required to assure cloud safety.  In this paper, by implementing multi agent systems in the cloud to handleinteractions for the providers, trust is introduced at agent level to filtratethe clients asking for services by using Particle Swarm Optimization andacquaintance knowledge to determine malicious and untrustworthy clients. Theselection depends on previous knowledge and overall rating of trusted peers.The conducted experiments show that the model outputs relevant results, andeven with a small number of peers, the framework is able to converge to thebest solution. The model presented in this paper is a part of ongoing work toadapt interactions in the cloud.

Handling Trust in A Cloud Based Multi Agent System