Attribute-Based Encryption With Parallel Outsourced Decryption for Edge Intelligent IoV

Attribute-Based Encryption With Parallel Outsourced Decryption for Edge Intelligent IoV
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用于边缘智能车联网的基于属性的加密和并行外包解密

DOI:
10.1109/tvt.2020.3027568
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发表时间:
2020-11-01
影响因子:
6.8
通讯作者:
Mumtaz, Shahid
Mumtaz, Shahid
中科院分区:
计算机科学2区
文献类型:
--
作者:
Feng, Chaosheng;Yu, Keping;Mumtaz, Shahid

文献摘要

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边缘智能是一个新兴的概念,指的是收集和分析数据的过程,并使用一系列先进的智能技术在网络中捕获数据的位置附近提供见解。作为解决计算能力不足和传输延迟问题的一种有前途的解决方案,边缘智能赋能的车联网(IoV)正在学术界和工业界进行广泛的研究。然而,边缘智能车联网中的数据共享安全是一个应该优先解决的挑战。虽然基于属性的加密(ABE)能够解决这一挑战,许多耗时的模指数运算和双线性对运算以及串行计算导致ABE具有缓慢的解密速度。因此,它无法满足边缘智能车联网的响应时间要求。针对这一问题,提出了一种边缘智能车联网的并行外包解密ABE模型,称为ABEM-POD。它包括基于Spark和MapReduce的ABE通用并行外包解密方法。该方法适用于所有具有树访问结构的ABE方案,并可应用于边缘智能车联网。基于该模型的ABE方案不仅支持并行外包解密,而且具有与原方案相同的安全性。本文将ABEM-POD应用于三种有代表性的ABE方案,实验表明所提出的ABEM-POD高效且易于使用。这种方法可以显著提高外包解密的速度,以满足边缘智能车联网的响应时间要求。
Edge intelligence is an emerging concept referring to processes in which data are collected and analyzed and insights are delivered close to where the data are captured in a network using a selection of advanced intelligent technologies. As a promising solution to solve the problems of insufficient computing capacity and transmission latency, the edge intelligence-empowered Internet of Vehicles (IoV) is being widely investigated in both academia and industry. However, data sharing security in edge intelligent IoV is a challenge that should be solved with priority. Although attribute-based encryption (ABE) is capable of addressing this challenge, many time-consuming modular exponential operations and bilinear pair operations as well as serial computing cause ABE to have a slow decryption speed. Consequently, it cannot address the response time requirement of edge intelligent IoV. Given this problem, an ABE model with parallel outsourced decryption for edge intelligent IoV, called ABEM-POD, is proposed. It includes a generic parallel outsourced decryption method for ABE based on Spark and MapReduce. This method is applicable to all ABE schemes with a tree access structure and can be applied to edge intelligent IoV. Any ABE scheme based on the proposed model not only supports parallel outsourced decryption but also has the same security as the original scheme. In this paper, ABEM-POD has been applied to three representative ABE schemes, and the experiments show that the proposed ABEM-POD is efficient and easy to use. This approach can significantly improve the speed of outsourced decryption to address the response time requirement for edge intelligent IoV.