Employing attribute-based encryption in systems with resource constrained devices in an information-centric networking context

J. Borgh, E. Ngai, B. Ohlman, A. Malik
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引用次数: 14

Abstract

Attribute-Based Encryption (ABE) is considered to be one of the most promising ways to be enforce access control in Information-Centric Networking (ICN). As the Internet of Things (IoT) is being considered as one of the primary use cases for ICN it raises the question of the compatibility between IoT and ABE. An important part of the IoT is the resource constrained devices, for them there is a challenge to perform the computationally expensive operations required for ABE. In this paper we consider ABE in sensor networks and discuss the strengths and weaknesses of a system solution where the ABE operations are performed on the sensors. To properly discuss these concerns we have implemented two ABE schemes, a Single-authority ABE (SA-CP-ABE) scheme and a Multi-authority ABE (MA-CP-ABE) scheme. Results regarding the execution time, RAM usage, data overhead and battery consumption of these implementations on a sensor are presented. We conclude that it is possible, already today, to perform ABE on sensors for smaller policies. The main limitation in deploying ABE in sensors is the RAM size of the sensors.
在以信息为中心的网络环境中,在设备资源受限的系统中采用基于属性的加密
基于属性的加密(ABE)被认为是在信息中心网络(ICN)中实施访问控制最有前途的方法之一。由于物联网(IoT)被认为是ICN的主要用例之一,它提出了物联网和ABE之间兼容性的问题。物联网的一个重要组成部分是资源受限的设备,对它们来说,执行ABE所需的计算昂贵的操作是一个挑战。在本文中,我们考虑了传感器网络中的ABE,并讨论了在传感器上执行ABE操作的系统解决方案的优缺点。为了正确地讨论这些问题,我们实现了两个ABE方案,一个单权威ABE (SA-CP-ABE)方案和一个多权威ABE (MA-CP-ABE)方案。给出了这些实现在传感器上的执行时间、RAM使用、数据开销和电池消耗的结果。我们的结论是,今天已经有可能对较小策略的传感器执行ABE。在传感器中部署ABE的主要限制是传感器的RAM大小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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