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安全增强的非协作认知分多址接入技术在车对车通信中的应用。

A Secure Enhanced Non-Cooperative Cognitive Division Multiple Access for Vehicle-to-Vehicle Communication.

机构信息

Department of Computer Engineering, Graduate School, Dongseo University, 47 Jurye-ro, Sasang-gu, Busan 47011, Korea.

Department of Smart Computing, Kyungdong University 46 4-gil, Bongpo, Gosung, Gangwon-do 24764, Korea.

出版信息

Sensors (Basel). 2020 Feb 13;20(4):1000. doi: 10.3390/s20041000.

DOI:10.3390/s20041000
PMID:32069860
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7070490/
Abstract

The growth of the Internet has led to the increasing usage of smart infotainment applications on the vehicular ad-hoc network (VANET). Preserving privacy and security regarding the provision of smart infotainment applications while on the go is most desired. Thus, a secure authentication scheme is required. Many privacy-preserving security schemes have been developed in recent times using cryptography approaches. However, these incur key management and communication overhead. The usage of third-party servers incurs the overhead of key computation, storage and distribution. Post completion of the initialization phase, the message is secured using cryptography and is shared among vehicles. The design of the proposed secure enhanced non-cooperative cognitive division multiple access ( S - ENCCMA ) aims to eliminate the need for the local message available with the parties to be released for provisioning secure safety-related applications. To overcome the research challenges, this work presents a novel security scheme, namely secure non-cooperative cognitive medium access ( S - ENCCMA ). The experiment is conducted to evaluate the overhead incurred in provisioning security to ENCCMA . The outcome shows that the overhead incurred by S - ENCCMA over ENCCMA was negligible to provide the real-time security requirements of smart infotainment applications, which is experimentally shown in this paper in terms of throughput, collision and successful packet transmission considering varied environmental models such as cities, highways and rural areas.

摘要

互联网的发展导致车载自组织网络(VANET)上智能信息娱乐应用的使用越来越多。在移动中提供智能信息娱乐应用时,最需要保护隐私和安全。因此,需要一个安全的认证方案。最近,许多使用密码学方法的隐私保护安全方案已经被开发出来。然而,这些方案会产生密钥管理和通信开销。使用第三方服务器会产生密钥计算、存储和分发的开销。初始化阶段完成后,使用密码学对消息进行保护,并在车辆之间共享。所提出的安全增强非合作认知分多址(S-ENCCMA)的设计旨在消除为提供安全相关应用程序而需要释放各方拥有的本地消息的需求。为了克服研究挑战,这项工作提出了一种新的安全方案,即安全非合作认知媒体接入(S-ENCCMA)。进行实验以评估为 ENCCMA 提供安全性所产生的开销。结果表明,S-ENCCMA 相对于 ENCCMA 产生的开销可以忽略不计,从而为智能信息娱乐应用提供实时安全要求,这在本文中通过吞吐量、碰撞和成功数据包传输来实验证明,考虑到不同的环境模型,如城市、高速公路和农村地区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/ca4e83847924/sensors-20-01000-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/9b95001ca32f/sensors-20-01000-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/e6df627292e6/sensors-20-01000-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/ce29f0b99617/sensors-20-01000-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/09fecb636ed7/sensors-20-01000-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/151fcf0b6999/sensors-20-01000-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/277e6db8d991/sensors-20-01000-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/77578ab99826/sensors-20-01000-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/75a7f4e7da4d/sensors-20-01000-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/763a238fc1f4/sensors-20-01000-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/ca4e83847924/sensors-20-01000-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/9b95001ca32f/sensors-20-01000-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/e6df627292e6/sensors-20-01000-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/ce29f0b99617/sensors-20-01000-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/09fecb636ed7/sensors-20-01000-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/151fcf0b6999/sensors-20-01000-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/277e6db8d991/sensors-20-01000-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/77578ab99826/sensors-20-01000-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/75a7f4e7da4d/sensors-20-01000-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/763a238fc1f4/sensors-20-01000-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680d/7070490/ca4e83847924/sensors-20-01000-g010.jpg

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引用本文的文献

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本文引用的文献

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Sensors (Basel). 2019 Jul 25;19(15):3283. doi: 10.3390/s19153283.