[1] |
LUETH K L . State of the IoT 2018:number of IoT devices now at 7B–Market accelerating[J]. IoT Analytics, 2018,8.
|
[2] |
PRYSS R , REICHERT M , HERRMANN J ,et al. Mobile crowd sensing in clinical and psychological trials:a case study[C]// Proceedings of International Symposium on Computer-Based Medical Systems. 2015: 23-24.
|
[3] |
王仁生, 吴天昊, 张琳 ,等. 基于区块链的智能网联车队协同轨迹预测系统[J]. 网络与信息安全学报, 2020,6(3): 78-87.
|
|
WANG R S , WU T H , ZHANG L ,et al. Cooperative trajectory prediction system for intelligent and automated connected convoy based on blockchain[J]. Chinese Journal of Network and Information Security, 2020,6(3): 78-87.
|
[4] |
ZHU X , LI H , YU Y . Blockchain-based privacy preserving deep learning[C]// Proceedings of International Conference on Information Security and Cryptology. 2018: 370-383.
|
[5] |
MCMAHAN B , MOORE E , RAMAGE D ,et al. Communicationefficient learning of deep networks from decentralized data[C]// Proceedings of Artificial Intelligence and Statistics. 2017: 1273-1282.
|
[6] |
BONAWITZ K , EICHNER H , GRIESKAMP W ,et al. Towards federated learning at scale:system design[J]. arXiv preprint arXiv:1902.01046, 2019.
|
[7] |
YANG Q , LIU Y , CHEN T ,et al. Federated machine learning:Concept and applications[J]. ACM Transactions on Intelligent Systems and Technology, 2019,10(2): 1-19.
|
[8] |
ANH T T , LUONG N C , NIYATO D ,et al. Efficient training management for mobile crowd-machine learning:a deep reinforcement learning approach[J]. IEEE Wireless Communications Letters, 2019,8(5): 1345-1348.
|
[9] |
HARD A , RAO K , MATHEWS R ,et al. Federated learning for mobile keyboard prediction[J]. arXiv preprint arXiv:1811.03604, 2018.
|
[10] |
LIANG L , YE H , LI G Y . Toward intelligent vehicular networks:a machine learning framework[J]. IEEE Internet of Things Journal, 2018,6(1): 124-135.
|
[11] |
TRAN N H , BAO W , ZOMAYA A ,et al. Federated learning over wireless networks:optimization model design and analysis[C]// Proceedings of IEEE INFOCOM 2019-IEEE Conference on Computer Communications. 2019: 1387-1395.
|
[12] |
LI Y , COURCOUBETIS C , DUAN L . Recommending paths:Follow or not follow[C]// Proceedings of IEEE INFOCOM 2019-IEEE Conference on Computer Communications. 2019: 928-936.
|
[13] |
FUNG C , YOON C J M , BESCHASTNIKH I . Mitigating sybils in federated learning poisoning[J]. arXiv preprint arXiv:1808.04866, 2018.
|
[14] |
KANG J , XIONG Z , NIYATO D ,et al. Toward secure blockchain-enabled Internet of Vehicles:Optimizing consensus management using reputation and contract theory[J]. IEEE Transactions on Vehicular Technology, 2019,68(3): 2906-2920.
|
[15] |
REHMAN M H , SALAH K , DAMIANI E ,et al. Towards blockchain-based reputation-aware federated learning[C]// Proceedings of IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops. 2020: 183-188.
|
[16] |
LIU Y , AI Z , SUN S ,et al. Fedcoin:A peer-to-peer payment system for federated learning[M]// Federated Learning. Springer,Cham, 2020: 125-138.
|
[17] |
WU L , MENG K , XU S ,et al. Democratic centralism:A hybrid blockchain architecture and its applications in energy internet[C]// Proceedings of 2017 IEEE International Conference on Energy Internet (ICEI). IEEE, 2017: 176-181.
|
[18] |
LIND J , NAOR O , EYAL I ,et al. Teechain:reducing storage costs on the blockchain with offline payment channels[C]// Proceedings of the 11th ACM International Systems and Storage Conference. 2018: 125-125.
|
[19] |
NAKAMOTO S . Bitcoin:a peer-to-peer electronic cash system[R]. Manubot, 2019.
|
[20] |
BENJI M , SINDHU M . A study on the Corda and Ripple blockchain platforms[C]// Proceedings ofAdvances in Intelligent Systems and Computing. 2019: 179-187.
|
[21] |
BOGNER A , CHANSON M , MEEUW A . A decentralised sharing app running a smart contract on the ethereum blockchain[C]// Proceedings of the 6th International Conference on the Internet of Things. 2016: 177-178.
|
[22] |
孟博, 刘加兵, 刘琴 ,等. 智能合约安全综述[J]. 网络与信息安全学报, 2020,6(3): 1-13.
|
|
MENG B , LIU J B , LIU Q ,et al. Survey of smart contract security[J]. Chinese Journal of Network and Information Security, 2020,6(3): 1-13.
|
[23] |
BENJI M , SINDHU M . A study on the Corda and Ripple blockchain platforms[M]// Advances in Big Data and Cloud Computing. Springer,Singapore, 2019: 179-187.
|
[24] |
张凯, 潘晓中 . 云计算下基于用户行为信任的访问控制模型[J]. 计算机应用, 2014,34(4): 1051-1054.
|
|
ZHANG K , PAN X Z . Access control model based on user behavior trust in cloud computing[J]. Journal of Computer Applications, 2014,34(4): 1051-1054.
|
[25] |
王海勇, 潘启青, 郭凯璇 . 基于区块链和用户信用度的访问控制模型[J]. 计算机应用, 2020,40(6): 1674-1679.
|
|
WANG H Y , PAN Q Q , GUO K X . Access control model based on blockchain and user credit[J]. Journal of Computer Applications, 2020,40(6): 1674-1679.
|
[26] |
HUANG X , YU R , KANG J ,et al. Software defined networking for energy harvesting internet of things[J]. IEEE Internet of Things Journal, 2018,5(3): 1389-1399.
|
[27] |
XIONG L , LIU L . Peertrust:Supporting reputation-based trust for peer-to-peer electronic communities[J]. IEEE Transactions on Knowledge and Data Engineering, 2004,16(7): 843-857.
|
[28] |
KANG J , XIONG Z , NIYATO D ,et al. Reliable federated learning for mobile networks[J]. IEEE Wireless Communications, 2020,27(2): 72-80.
|