移动内容分发的τ-渐进式密钥管理方案设计

Kazuhide Fukushima, S. Kiyomoto, Toshiaki Tanaka
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引用次数: 1

摘要

版权保护是在线内容分发服务中的一个主要问题,已经提出了许多用于保护内容的密钥管理方案。密钥分发过程带来了巨大的负担,即使通信带宽本身在向数百万用户分发移动内容时受到限制。移动设备的计算能力也很低。因此,服务需要一种新的密钥管理方案,其中密钥分发服务器上的负载是最优的,客户机上的负载是实际的。基于树的方案旨在减少服务器上的负载,而不考虑减少客户机上的负载。另一方面,在基于星型的方案中,客户机上的负载最小化,而服务器上的负载则与客户机数量成比例地增加。这些结构远远不能扩展。本文首先讨论了对密钥管理方案的传统安全要求的放宽,并定义了提高方案效率的新要求。接下来我们提出了τ-渐进式密钥管理方案。我们的方案满足了新的安全需求和服务器负载,并且它的客户端比传统方案少得多。它使用一种介于星形结构和树形结构之间的中间配置,允许我们通过控制一个组中的客户端数量(mmax)来不断地更改它。根据参数mmax的不同,该方案可以分为τ-星型、τ-树型和τ-中间型。然后,我们使用基于实际假设的所有方案,对服务器和客户机上的负载进行定量评估。服务器上的负载和客户机上的负载涉及到τ-intermediate方案的权衡。在保证安全性的前提下,可以根据系统需求构建最优的密钥管理结构。我们描述了一种设置参数mmax的具体策略。最后,我们给出了一般的参数设置,通过这些参数设置,使用τ-中间方案的服务器和客户端的负载都低于使用τ-树方案的负载。
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Design of τ-Gradual Key-Management Schemes for Mobile Content Distribution
Copyright protection is a major issue in online content-distribution services and many key-management schemes have been proposed for protecting content. Key-distribution processes impose large burdens even though the communications bandwidth itself is restricted in the distribution of mobile content provided to millions of users. Mobile devices also have low computational capacities. Thus, a new scheme of key management, where the load on the key-distribution server is optimal and loads on clients are practical, is required for services. Tree-based schemes aim at reducing the load on the server and do not take reducing the load on clients into account. The load on clients is minimized in a star-based scheme, on the other hand, while the load on the server increases in proportion to the number of clients. These structures are far from being scalable. We first discuss a relaxation of conventional security requirements for key-management schemes in this paper and define new requirements to improve the efficiency of the schemes. We next propose the τ-gradual key-management scheme. Our scheme satisfies the new security requirements and loads on the server, and it has far fewer clients than conventional schemes. It uses an intermediate configuration between that of a star- and a tree-structure that allows us to continuously change it by controlling the number of clients in a group, mmax. The scheme can be classified as τ-star-based, τ-tree-based, or τ-intermediate depending on the parameter, mmax. We then present a quantitative evaluation of the load on the server and clients using all our schemes based on practical assumptions. The load on the server and that on clients involves a trade-off with the τ-intermediate scheme. We can construct an optimal key-management structure according to system requirements using our schemes, while maintaining security. We describe a concrete strategy for setting parameter mmax. Finally, we present general parameter settings by which loads on both the server and clients using the τ-intermediate scheme are lower than those using the τ-tree-based scheme.
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