Blockchain-Empowered Content Cache System for Vehicle Edge Computing Networks

被引:3
|
作者
Liu, Junjie [1 ]
Zhang, Xuefei [1 ]
Li, Yijing [1 ]
Cui, Qimei [1 ]
Tao, Xiaofeng [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Natl Engn Lab Mobile Network Technol, Beijing 100876, Peoples R China
关键词
Blockchain; Content cache; Consensus algorithm; VEC; Security; COMMUNICATION; PRIVACY;
D O I
10.1007/978-981-15-2777-7_33
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Content cache for Vehicle Edge Computing (VEC) Network is a promising service to reduce transmission delay and cost. Existing content cache system requires Road Side Units (RSUs) to participate in the content transmission process, however, RSUs are usually distributed along the road without strong security protection, which is vulnerable to being compromised by attackers. In this way, the cached content is vulnerable to tamper and the widespread dissemination of malicious content will bring a devastating blow to the trust mechanism of the caching system. In this paper, we propose a Blockchain-empowered content cache system, where the content index (containing the provider's address, the hash value of the content) is adopted to guarantee the validity of the content. The content index is deposited in the Blockchain system, the immutability and distributed architecture of Blockchain can effectively prevent the content index from being tampered. However, such tamperresistance property comes at the cost of a long confirmation caused by the consensus process. A time-oriented Proof of Work (PoW) consensus algorithm is proposed to improve the Blockchain efficiency. And a local indexing set-based search mechanism is established to reduce the long search delay caused by the chain-based structure. Moreover, the simulation results also demonstrate that the Blockchain-empowered cache system can improve the hit ratio of servers by providing customized request information.
引用
收藏
页码:410 / 421
页数:12
相关论文
共 50 条
  • [1] Blockchain-Empowered Secure Aerial Edge Computing for AIoT Devices
    Zhang, Zufan
    Zeng, Kewen
    Yi, Yinxue
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (01): : 84 - 94
  • [2] Blockchain-Empowered Distributed Multicamera Multitarget Tracking in Edge Computing
    Wang, Shuai
    Sheng, Hao
    Zhang, Yang
    Yang, Da
    Shen, Jiahao
    Chen, Rongshan
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 20 (01) : 369 - 379
  • [3] Blockchain-Empowered Lifecycle Management for AI-Generated Content Products in Edge Networks
    Liu, Yinqiu
    Du, Hongyang
    Niyato, Dusit
    Kang, Jiawen
    Xiong, Zehui
    Miao, Chunyan
    Shen, Xuemin
    Jamalipour, Abbas
    IEEE WIRELESS COMMUNICATIONS, 2024, 31 (03) : 286 - 294
  • [4] Blockchain-Empowered Collaborative Task Offloading for Cloud-Edge-Device Computing
    Yao, Su
    Wang, Mu
    Qu, Qiang
    Zhang, Ziyi
    Zhang, Yi-Feng
    Xu, Ke
    Xu, Mingwei
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2022, 40 (12) : 3485 - 3500
  • [5] A Secure Data Aggregation Strategy in Edge Computing and Blockchain-Empowered Internet of Things
    Wang, Xiaoding
    Garg, Sahil
    Lin, Hui
    Kaddoum, Georges
    Hu, Jia
    Hossain, M. Shamim
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (16): : 14237 - 14246
  • [6] Service-Oriented Resource Allocation for Blockchain-Empowered Mobile Edge Computing
    Zhou, Ao
    Li, Sisi
    Ma, Xiao
    Wang, Shangguang
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2022, 40 (12) : 3391 - 3404
  • [7] Joint Computation Offloading and Coin Loaning for Blockchain-Empowered Mobile-Edge Computing
    Zhang, Zhen
    Hong, Zicong
    Chen, Wuhui
    Zheng, Zibin
    Chen, Xu
    IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (06): : 9934 - 9950
  • [8] Online Deep Reinforcement Learning for Computation Offloading in Blockchain-Empowered Mobile Edge Computing
    Qiu, Xiaoyu
    Liu, Luobin
    Chen, Wuhui
    Hong, Zicong
    Zheng, Zibin
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (08) : 8050 - 8062
  • [9] Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing
    Nguyen, Dinh C.
    Hosseinalipour, Seyyedali
    Love, David J.
    Pathirana, Pubudu N.
    Brinton, Christopher G.
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2022, 40 (12) : 3373 - 3390
  • [10] A Blockchain-Empowered Multiaggregator Federated Learning Architecture in Edge Computing With Deep Reinforcement Learning Optimization
    Li, Xiao
    Wu, Weili
    IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024,