Details of Research Outputs

TitleSecurity-Enhanced Content Caching for the 5G-Based Cognitive Internet of Vehicles
Author (Name in English or Pinyin)
Qian, Y.1; Zhang, Y.2; Fortino, G.3; Miao, Y.4; Hu, L.4; Hwang, K.5
Date Issued2021-04-01
Source PublicationIEEE Network
ISSN08908044
EISSN1558-156X
Volume35Issue:2Pages:40-45
AbstractWith the explosive growth of multimedia contents in vehicular networks and the development of 5G technology come great challenges to the Internet of Vehicles system. By utilizing the storage capability of roadside units, popular contents can be cached in advance during nonpeak periods, which can bring better quality of experience to users. However, it is difficult for the existing content caching schemes in traditional vehicular networks to achieve global control when designing content caching mechanisms. Moreover, some content caching schemes also bring security concerns. Thus, in this article, we first discuss the content caching problem in the 5G-based cognitive Internet of Vehicles. Then we design security enhancement methods with the cognitive engine. Finally, we use a special case to study how to design a secure and delay-sensitive content caching scheme in cognitive vehicular networks. Extensive experiments show that the proposed algorithm outperforms traditional content caching methods.
DOI10.1109/MNET.011.2000407
Indexed BySCIE
language英语
Funding ProjectNational Key Research and Development Program of China [2017YFE0123600]; National Natural Science Foundation of China [61902363, 61802138, 61802139]; Italian MIUR, PRIN 2017 Project Fluidware [CUP H24I17000070001]; Hubei Key Laboratory of Intelligent Geo-Information Processing [KLIGIP-2018B10]; Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS)
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000638250600007
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Original Document TypeArticle
Education discipline科技类
Published range国外学术期刊
Volume Issue Pages卷: 35 期: 2 页: 40-45
References
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Data SourceWOS
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttps://irepository.cuhk.edu.cn/handle/3EPUXD0A/2103
CollectionShenzhen Institute of Artificial Intelligence and Robotics for Society
School of Data Science
Corresponding AuthorHu, L.; Hwang, K.
Affiliation
1.China University of Geosciences, China
2.University of Electronic Science and Technology of China, China
3.University of Calabria, Italy
4.Huazhong University of Science and Technology, China
5.Chinese University of Hong Kong (Shenzhen), Shenzhen Institute of Artificial Intelligence and Robotics for Society, China
Corresponding Author AffilicationShenzhen Institute of Artificial Intelligence and Robotics for Society
Recommended Citation
GB/T 7714
Qian, Y.,Zhang, Y.,Fortino, G.et al. Security-Enhanced Content Caching for the 5G-Based Cognitive Internet of Vehicles[J]. IEEE Network,2021,35(2):40-45.
APA Qian, Y., Zhang, Y., Fortino, G., Miao, Y., Hu, L., & Hwang, K. (2021). Security-Enhanced Content Caching for the 5G-Based Cognitive Internet of Vehicles. IEEE Network, 35(2), 40-45.
MLA Qian, Y.,et al."Security-Enhanced Content Caching for the 5G-Based Cognitive Internet of Vehicles".IEEE Network 35.2(2021):40-45.
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