具有隐私支持的CCN框架

Xiaonan Wang, Zhengxiong Dou, Y. Mu
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引用次数: 3

摘要

以内容为中心的网络(CCN)使用兴趣的名称来查找目标内容,其中名称是明文且不受保护的。除了名称之外,一个Data中的内容也不受保护。如果未经授权的节点拦截了兴趣,它可以推断请求的内容类型。如果节点截获了响应数据,则可能非法获取响应数据的内容。本研究针对CCN的隐私问题,提出了一个具有隐私支持的CCN框架。在此框架中,提出了隐私名的概念,并据此提出了基于隐私名的转发信息库(FIB)和待处理兴趣表(PIT)建立算法。在提出的FIB和PIT算法的基础上,提出了基于隐私名的内容通信算法。在该算法中,授权消费者可以使用一个隐私名来查找、检索和共享内容的密文,从而实现了隐私。最后,对该框架的隐私性进行了分析,并对其性能进行了评估,以证明其优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CCN framework with privacy support
Content-centric networking (CCN) used the name of an Interest to seek the target content, where the name was a plaintext and unprotected. Apart from the name, the content in one Data is also unprotected. If an unauthorised node intercepted an Interest, it could infer what kind of content is requested. If the node intercepted a response Data, it could illegally acquire the content. This study focused on the privacy issues of CCN and proposed a CCN framework with privacy support. In this framework, the concept of a privacy name was proposed and accordingly the forwarding information base (FIB) and pending Interest table (PIT) establishment algorithms based on privacy names were proposed. On the basis of the proposed FIB and PIT, the content communication algorithm based on privacy names was presented. In this algorithm, one authorised consumer could use a privacy name to seek, retrieve and share the ciphertext of the content, so the privacy was achieved. Finally, the privacy of this framework was analysed and the performance was evaluated to justify its advantages.
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