Security Enhanced Internet of Vehicles with Cloud-Fog-Dew Computing

doi:10.3969/j.issn.1673-5188.2017.S2.008

ZTE Communications ›› 2017, Vol. 15 ›› Issue (S2): 47-51.DOI: 10.3969/j.issn.1673-5188.2017.S2.008

收稿日期:2017-06-17 出版日期:2017-12-25 发布日期:2020-04-16

Security Enhanced Internet of Vehicles with Cloud-Fog-Dew Computing

MENG Ziqian¹, GUAN Zhi^2,³, WU Zhengang⁴, LI Anran¹, CHEN Zhong¹

1. School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China
2. National Engineering Research Center for Software Engineering, Peking University, Beijing 100871, China
3. Laboratory of High Confidence Software Technologies, Peking University, Beijing 100871, China
4. The Third Research Institute of China Electronics Technology Group Corporation, Beijing 100015, China

Received:2017-06-17 Online:2017-12-25 Published:2020-04-16
About author:MENG Ziqian (markmzq@pku.edu.cn) is a Ph.D. candidate of Ministry of Education (MoE) Key Laboratory of Network and Software Security Assurance of Peking University, China. He received his bachelor degree in computer science from Peking University in 2013. He visited Carnegie Mellon University, USA as a visiting scholar for one year in 2016. His current research interests include future Internet architecture, network security, mobility, congestion control and the IoV.|GUAN Zhi (guan@pku.edu.cn) received his Ph.D. degree in computer science from Peking University, China in 2009. He is a faculty member of MoE Key Laboratory of Network and Software Security Assurance of Peking University since 2009. He is an associate professor and his current research interests include cryptography engineering, crypto-currency and cloud security. He gives lectures “Introduction to Information Security” and “Recent Advances in Information Technology” to undergraduates and “Network and Information Security” to master students. He will give the lecture “Practical Applications of Cryptography” to master students of Mannheim University.|WU Zhengang (markzgwu@163.com) received his Bachelor’s degree in engineering from Beijing Institute of Technology, China in 2003. He received his Master’s degree in software engineering and Ph.D. in computer software and theory from Peking University, China in 2015 and 2006 respectively. He is a research engineer at The Third Research Institute of China Electronics Technology Group Corporation (CETC), focusing on computer science and technology. His research interests include mobile Internet security, software engineering and enterprise information system. He has published 7 academic papers as the first author, on security and privacy protection of the mobile Internet.|LI Anran (lianran@pku.edu.cn) obtained B.S. from Beijing Normal University, China and is a graduate student of Information Security Lab., Peking University, China in the third year. His research interests include information security and blockchain. Over the first two years in Information Security Lab., his research focused on cryptology and blockchain technology, and have applied a patent on managing bitcoin address efficient.|CHEN Zhong (zhongchen@pku.edu.cn) received the B.S., M.S. and Ph.D. degrees in computer science from Peking University, China. He is the director of MoE Key Laboratory of Network and Software Security Assurance of Peking University. His research interests include software engineering, information security and future Internet architecture. He is also a member of the IEEE, senior member of China Institute of Electronics, deputy director of China Software Industry Association, fellow and co-chair of professional committee of Information Security and Privacy of China Computer Federation.
Supported by:
This research work is supported by National Natural Science Foundation of China under Grant(61672060)

摘要/Abstract

Abstract:

The Internet of Vehicles (IoV) is becoming an essential factor in the development of smart transportation and smart city projects. The IoV technology consists of the concepts of fog computing and dew computing, which involve on-board units and road side units in the edge network, as well as the concept of cloud computing, which involves the data center that provides service. The security issues are always an important concern in the design of IoV architecture. To achieve a secure IoV architecture, some security measures are necessary for the cloud computing and fog computing associated with the vehicular network. In this paper, we summarize some research works on the security schemes in the vehicular network and cloud-fog-dew computing platforms which the IoV depends on.

Key words: cloud computing, dew computing, IoV, privacy, security

. [J]. ZTE Communications, 2017, 15(S2): 47-51.

MENG Ziqian, GUAN Zhi, WU Zhengang, LI Anran, CHEN Zhong. Security Enhanced Internet of Vehicles with Cloud-Fog-Dew Computing[J]. ZTE Communications, 2017, 15(S2): 47-51.

图/表 3

参考文献 25

[1]	K. Golestan, R. Soua, F. Karray, M. S. Kamel , “Situation awareness within the context of connected cars: A comprehensive review and recent trends,” Information Fusion, vol. 29, pp. 68-83, May 2016. doi: 10.1016/j.inffus.2015.08.001.
[2]	F. Bonomi , “The smart and connected vehicle and the internet of things,” Invited Talk, Workshop on Synchronization in Telecommunication Systems, 2013.
[3]	J. Contreras, S. Zeadally, J. A. Guerrero-Ibanez , “Internet of vehicles: architecture, protocols, and security,” IEEE Internet of Things Journal, vol. PP, no. 99, pp. 1-1, Apr. 2017. doi: 10.1109/JIOT.2017.2690902.
[4]	R. Chellappa , “Intermediaries in cloud-computing: a new computing paradigm,” in INFORMS Annual Meeting, Dallas, USA, Oct. 1997.
[5]	F. Bonomi, R. Milito, J. Zhu, S. Addepalli , “Fog computing and its role in the internet of things,” in Proc. First Edition of MCC workshop on Mobile cloud computing, Helsinki, Finland, 2012, pp. 13-16. doi: 10.1145/2342509.2342513.
[6]	K. Shenoy, P. Bhokare, U. Pai , “Fog computing future of cloud computing,” International Journal of Science and Research, vol. 4, no. 6, pp. 55-56, Jun. 2015.
[7]	W. Shi, J. Cao, Q. Zhang, Y. Li, L. Xu , “Edge computing: vision and challenges,” IEEE Internet of Things Journal, vol. 3, no. 5 pp. 637-646, Oct. 2016. doi: 10.1109/JIOT.2016.2579198.
[8]	J. Cheng, J. Cheng, M. Zhou , et al., “Routing in internet of vehicles: a review,” IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 5, pp. 2339-2352, Oct. 2015. doi: 10.1109/TITS.2015.2423667.
[9]	A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, M. Ayyash , “Internet of things: a survey on enabling technologies, protocols, and applications,” IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347-2376, 2015. doi: 10.1109/COMST.2015.2444095.
[10]	B. Mokhtar, M. Azab , “Survey on security issues in vehicular ad hoc networks,” Alexandria Engineering Journal, vol. 54, no. 4, pp. 1115-1126, Dec. 2015. doi: 10.1016/j.aej.2015.07.011.
[11]	C. Chen, X. Wang, W. Han, B. Zang , “A robust detection of the sybil attack in urban vanets,” in 29th IEEE International Conference on Distributed Computing Systems Workshops, Montreal, Canada, 2009. doi: 10.1109/ICDCSW.2009.48.
[12]	S. Park, B. Aslam, D. Turgut, C. C. Zou , “Defense against sybil attack in vehicular ad hoc network based on roadside unit support,” in IEEE Military Communications Conference, Boston, USA, 2009. doi: 10.1109/MILCOM.2009.5379844.
[13]	S. Chang, Y. Qi, H. Zhu, J. Zhao, X. Shen , “Footprint: Detecting sybil attacks in urban vehicular networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 6, pp. 1103-1114, Jun. 2012. doi: 10.1109/TPDS.2011.263.
[14]	Z. Zhang , et al., “Study on location privacy protection technology of VANET,” Journal on Communications, vol. 33, no. 8, pp. 180-189, 2012.
[15]	A. R. Beresford and F. Stajano , “Mix zones: user privacy in location-aware services,” in Second IEEE Annual Conference on Pervasive Computing and Communications Workshops, Orlando, USA, 2004. doi: 10.1109/PERCOMW.2004.1276918.
[16]	H. Xiong, Z. Chen, F. Li , “Efficient and multi-level privacy-preserving communication protocol for VANET,” Computers & Electrical Engineering, vol. 38, no. 3, pp. 573-581, May 2012. doi: 10.1016/j.compeleceng.2011.11.009.
[17]	J. Chen, M. S. I. Mamun, and A. Miyaji , “An efficient batch verification system and its effect in a real time VANET environment,” Security and Communication Networks, vol. 8, no. 2, pp. 298-310, 2015. doi: 10.1002/sec.980.
[18]	Lin Xiaodong , et al. “GSIS: a secure and privacy-preserving protocol for vehicular communications,” IEEE Transactions on vehicular technology, vol. 56, no. 6, pp. 3442-3456, Nov. 2007. doi: 10.1109/TVT.2007.906878.
[19]	J. Zhang and Y. Xu , “Privacy- preserving authentication protocols with efficient verification in VANETs,” International Journal of Communication Systems, vol. 27, no. 12, pp. 3676-3692, 2014. doi: 10.1002/dac.2566.
[20]	G. Yan, D. Wen, S. Olariu, M. C. Weigle , “Security challenges in vehicular cloud computing,” IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 1, pp. 284-294, Mar. 2013. doi: 10.1109/TITS.2012.2211870.
[21]	J. P. Hubaux, S. Capkun, J. Luo , “The security and privacy of smart vehicles,” IEEE Security & Privacy, vol. 2, no. 3, pp. 49-55, May-Jun. 2004. doi: 10.1109/MSP.2004.26.
[22]	K. Skala, D. Davidovic, E. Afgan, I. Sovic, Z. Sojat , “Scalable distributed computing hierarchy: cloud, fog and dew computing,” Open Journal of Cloud Computing , vol. 2, no. 1, pp. 16-24, 2015.
[23]	T. Bhatia and A. K. Verma , “Data security in mobile cloud computing paradigm: a survey, taxonomy and open research issues,” The Journal of Supercomputing, vol. 73, no. 6, pp. 2558-2631, Jun. 2017. doi: 10.1007/s11227-016-1945-y.
[24]	A. Alrawais, A. Alhothaily, C. Hu, X. Cheng , “Fog computing for the internet of things: security and privacy issues,” IEEE Internet Computing, vol. 21, no. 2, pp. 34-42, Mar.-Apr. 2017. doi: 10.1109/MIC.2017.37.
[25]	A. Rindos and Y. Wang . “Dew computing: the complementary piece of cloud computing,” IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom), Atlanta, USA, 2016. doi: 10.1109/BDCloud-SocialCom-SustainCom.2016.14.

Security requirement	Description
Data authentication	When data is transferred, the identities of vehicles must be verified
Data integrity	Transmitted and received data must be checked to ensure that data is delivered correctly
Data confidentiality	Data must be protected to ensure secret data transmission occurs between different vehicles participating in the IoV
Access control	In the IoV, vehicles should only access available services that they are entitled to
Data non-repudiation	A vehicle cannot deny the authenticity of another vehicle
Availability	The communication between different vehicles should be ensured
Anti-jamming	Mechanisms should be built to prevent malicious vehicles from sending interfering messages to interrupt the normal communication between vehicles

Security requirement	Description
Data authentication	When data is transferred, the identities of vehicles must be verified
Data integrity	Transmitted and received data must be checked to ensure that data is delivered correctly
Data confidentiality	Data must be protected to ensure secret data transmission occurs between different vehicles participating in the IoV
Access control	In the IoV, vehicles should only access available services that they are entitled to
Data non-repudiation	A vehicle cannot deny the authenticity of another vehicle
Availability	The communication between different vehicles should be ensured
Anti-jamming	Mechanisms should be built to prevent malicious vehicles from sending interfering messages to interrupt the normal communication between vehicles

Security Enhanced Internet of Vehicles with Cloud-Fog-Dew Computing

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 3

参考文献 25

相关文章 0

编辑推荐

Metrics