论文标题
处理基于云的多代理系统的信任
Handling Trust in A Cloud Based Multi Agent System
论文作者
论文摘要
云计算是一个打开和分布式网络，可确保在多个级别（软件，硬件...）上访问大量数据和IT基础架构。随着需求的增加，处理客户的需求变得越来越具有挑战性。响应所有请求的客户可能会导致安全漏洞，并且由于提供商不仅要确保提供的云服务，而且是数据，因此确保客户的可靠性很重要。尽管过滤云中的客户并不是那么普遍，但仍需要确保云安全性。 在本文中，通过在云中实施多代理系统来处理提供商的交互，在代理级别引入了信任，以通过使用粒子群优化和相识知识来确定恶意和不信任的客户，以滤掉客户询问服务的客户。选择取决于以前的知识和受信任同龄人的总体评分。进行的实验表明，该模型会输出相关的结果，即使有少数同行，该框架也能够收敛到最佳解决方案。本文介绍的模型是正在进行的工作以适应云中相互作用的一部分。
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.
