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Security and Privacy Challenges in Content-Centric Networks

机译:以内容为中心的网络中的安全和隐私挑战

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摘要

Today's Internet is aging. Connections are point-to-point and increasingly protected by end-to-end encryption. This reduces security to data transport instead of data itself. Content-Centric Networking (CCN) is a paradigm shift away from this host- and channel-based design. CCN is an architecture for naming, securing, and transferring named data from producers to consumers upon request. Consumers issue interests for named content. Routers forward interests towards producers capable of providing authentic content with cryptographic name-to-data bindings. Once found, routers forward content, in reverse, towards consumers. Routers may also choose to cache content to serve duplicate future interests. Object security, native authenticity, pull-based data transfer, flow symmetry, and in-network services are among the notable characteristics of CCN. In this dissertation, we study security and privacy issues that stem from these architectural properties. Specifically, we study variations and facets of access control, privacy risks and remedies, and network-layer availability attacks and architectural mitigations. For each issue, we describe the problem in detail and explain several countermeasures. We also present detailed analyses and experimental assessments for each approach. We find that sound engineering can mitigate several issues, while others remain insurmountable challenges exacerbated by fundamental security and performance tradeoffs made by CCN.
机译:今天的互联网正在老化。连接是点对点的,并且越来越受到端到端加密的保护。这降低了数据传输而不是数据本身的安全性。以内容为中心的网络(CCN)是这种基于主机和通道的设计的典范转变。 CCN是一种体系结构,用于根据需要命名,保护命名数据并将其从生产者传输到消费者。消费者对命名内容发出兴趣。路由器将兴趣转发给能够通过加密的名称到数据绑定提供真实内容的生产者。一旦找到,路由器便将内容反向转发给消费者。路由器还可以选择缓存内容以服务将来的重复兴趣。对象安全性,本机真实性,基于拉的数据传输,流对称性和网络内服务是CCN的显着特征。在本文中,我们研究了源自这些体系结构属性的安全性和隐私问题。具体来说,我们研究访问控制的变化和方面,隐私风险和补救措施以及网络层可用性攻击和体系结构缓解措施。对于每个问题,我们都会详细描述问题并说明一些对策。我们还将介绍每种方法的详细分析和实验评估。我们发现,完善的工程技术可以缓解一些问题,而其他问题仍然是CCN进行的基本安全性和性能折衷所加剧的不可克服的挑战。

著录项

  • 作者

    Wood, Christopher A.;

  • 作者单位

    University of California, Irvine.;

  • 授予单位 University of California, Irvine.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 337 p.
  • 总页数 337
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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