2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Handling Trust in A Cloud Based Multi Agent System

      Preprint
      ,

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Cloud computing is an opened and distributed network that guarantees access to a large amount of data and IT infrastructure at several levels (software, hardware...). With the increase demand, handling clients' needs is getting increasingly challenging. Responding to all requesting clients could lead to security breaches, and since it is the provider's responsibility to secure not only the offered cloud services but also the data, it is important to ensure clients 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 handle interactions for the providers, trust is introduced at agent level to filtrate the clients asking for services by using Particle Swarm Optimization and acquaintance knowledge to determine malicious and untrustworthy clients. The selection depends on previous knowledge and overall rating of trusted peers. The conducted experiments show that the model outputs relevant results, and even with a small number of peers, the framework is able to converge to the best solution. The model presented in this paper is a part of ongoing work to adapt interactions in the cloud.

          Related collections

          Author and article information

          Journal
          05 January 2022
          Article
          2201.01807
          78f63b42-bd6c-48b4-bb66-391a4389df5a

          http://creativecommons.org/publicdomain/zero/1.0/

          History
          Custom metadata
          13 pages, 9 figures, 10th International Conference on Natural Language Processing
          cs.MA cs.DB cs.SI

          Social & Information networks,Databases,Artificial intelligence
          Social & Information networks, Databases, Artificial intelligence

          Comments

          Comment on this article