Adaptive Multimedia Data Forwarding for Privacy Preservation in Vehicular Ad-Hoc Networks
Adaptive Multimedia Data Forwarding for Privacy Preservation in Vehicular Ad-Hoc Networks
复制标题
车载自组织网络中用于隐私保护的自适应多媒体数据转发
DOI：
10.1109/tits.2017.2653103
复制
发表时间：
2017-10-01
影响因子：
8.5
通讯作者：
Xiang, Yang
中科院分区：
文献类型：
--
作者：
Xia, Yingjie;Chen, Wenzhi;Xiang, Yang
车载自组织网络(VANET)已经引起了研究者的广泛关注。VANET中的车辆频繁地加入和离开网络，从而动态地、自动地重构网络。车载自组织网络中转发的消息主要是多媒体数据，包括结构化数据、纯文本、声音和视频，这些数据要求访问控制和有效的隐私保护。采用基于密文策略的属性加密(CP-ABE)来满足这一要求。然而，基于传统CP-ABE的解决方案面临着车载计算资源有限的挑战，特别是对于复杂的加密和解密策略。为了提高车辆的解密效率，本文提出了一种CP-ABE委派方案，该方案允许路侧单元(RSU)执行大部分计算。通过使用决策树对距离RSU的距离、通信开销和计算代价等多个因素进行联合优化，基于对不同车辆解密开销的估计，自适应地激活CP-ABE委托方案。实验结果表明，该方案在保护隐私的车载自组织网络中传输多媒体数据是有效和高效的。
Vehicular ad-hoc networks (VANETs) have drawn much attention of researchers. The vehicles in VANETs frequently join and leave the networks, and therefore restructure the network dynamically and automatically. Forwarded messages in vehicular ad-hoc networks are primarily multimedia data, including structured data, plain text, sound, and video, which require access control with efficient privacy preservation. Ciphertext-policy attribute-based encryption (CP-ABE) is adopted to meet the requirements. However, solutions based on traditional CP-ABE suffer from challenges of the limited computational resources on-board units equipped in the vehicles, especially for the complex policies of encryption and decryption. In this paper, we propose a CP-ABE delegation scheme, which allows road side units (RSUs) to perform most of the computation, for the purpose of improving the decryption efficiency of the vehicles. By using decision tree to jointly optimize multiple factors, such as the distance from RSU, the communication and computational cost, the CP-ABE delegation scheme is adaptively activated based on the estimation of various vehicles decryption overhead. Experimental results thoroughly demonstrate that our scheme is effective and efficient for multimedia data forwarding in vehicular ad-hoc networks with privacy preservation.