Quick and Accurate False Data Detection in Mobile Crowd Sensing

Author:

Li XiaocanORCID,Xie KunORCID,Wang XinORCID,Xie GaogangORCID,Xie DongliangORCID,Li ZhenyuORCID,Wen Jigang,Diao Zulong,Wang TianORCID

Funder

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation of China

U.S. NSF

Open Project Funding of State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences

CERNET Innovation Project

Open Foundation of State key Laboratory of Networking and Switching Technology

Peng Cheng Laboratory Project of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Explainable Artificial Intelligence to Enhance Data Trustworthiness in Crowd-Sensing Systems;2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2023-06

2. Multi-Objective Order Dispatch for Urban Crowd Sensing with For-Hire Vehicles;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications;2023-05-17

3. LightNestle: Quick and Accurate Neural Sequential Tensor Completion via Meta Learning;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications;2023-05-17

4. Outlier-Concerned Data Completion Exploiting Intra- and Inter-Data Correlations in Sparse CrowdSensing;IEEE/ACM Transactions on Networking;2023-04

5. Neighbor Graph Based Tensor Recovery For Accurate Internet Anomaly Detection;IEEE Transactions on Parallel and Distributed Systems;2023-02-01

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