Selecting Trustworthy Clients in the Cloud
نویسندگان
چکیده
With the recent increase demand for cloud services, handling clients’ needs is getting increasingly challenging. Responding to all requesting clients with no exception could lead security breaches, and since it provider’s responsibility secure not only offered services but also data, important ensure reliability. Although filtering in so common, required assure safety. In this paper, we made use of multi agent system interaction mechanisms handle interactions providers’ side, Particle Swarm Optimization select determine accurate trust weight therefore filtrate by determining malicious untrustworthy clients. The selection depends on previous knowledge overall rating trusted peers. conducted experiments proves that combination between MAS, PSO outputs relevant results different number peers, solution able converge best result after small iterations. To explore more space scenarios, synthetic data was generated improve model’s precision .
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ژورنال
عنوان ژورنال: International journal of cloud computing : services and architecture
سال: 2022
ISSN: ['2231-5853', '2231-6663']
DOI: https://doi.org/10.5121/ijccsa.2022.12101