基于p2p的Web服务发现的隐私保护方法

Kuien Liu, Qing Wang, Jun-su Han, Hu Wu
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引用次数: 8

摘要

基于点对点的Web服务发现系统已经显示出高连接性和动态适应所提供的高可伸缩性和可用性。然而,这种非权威和分散控制系统的并发设计的一个严重困难是如何处理这些系统中的隐私问题和策略执行,这些系统可能包含相当比例的不诚实和不可用的对等体。本文提出了一种在代理对等平台上实现授权模型的隐私保护方法,该方法支持专为P2P环境下隐私策略实施而设计的Web服务描述组合算法和发现协议。我们利用大量对等体的统计稳定性,分析隐私策略被背叛和被遵守的定量结果,以及如何通过调整组合算法的参数,将隐私保证和可用性提高到期望的水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Privacy Protection Method for P2P-based Web Service Discovery
Peer-to-Peer based Web service discovery systems have shown the high scalability and availability provided by high connectivity and dynamic accommodation. However, a serious difficulty in concurrent designing of such unauthoritative and decentralized controlled systems is how to deal with the privacy concerns and policy enforcement in such systems which may contain a considerable ratio of dishonest and unavailable peers. We present a privacy protection method implementing authorization model in the broker peers' platform with the supporting of Web service description composition algorithms and discovery protocols especially designed for privacy policy enforcement in P2P environments. We exploit the statistical stability of a large number of peers and analyze the quantitative result of privacy policies being betrayed and obeyed, as well as how to leverage the privacy assurance and availability to desired levels by adjusting the parameters of composition algorithms.
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