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Incentive Mechanism for Privacy-Aware Data Aggregation in Mobile Crowd Sensing Systems.

, , , и . IEEE/ACM Trans. Netw., 26 (5): 2019-2032 (2018)

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Lu Lu

Qi Su

Su Zhao

Mingxia Su

Yuhui Su

 

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FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices., , , , , , и . SenSys, стр. 278-291. ACM, (2018)Theseus: Incentivizing Truth Discovery in Mobile Crowd Sensing Systems., , и . MobiHoc, стр. 1:1-1:10. ACM, (2017)Road Grade Estimation Using Crowd-Sourced Smartphone Data., , , , , и . IPSN, стр. 313-324. IEEE, (2020)A Weighted Crowdsourcing Approach for Network Quality Measurement in Cellular Data Networks., , , , , , , и . IEEE Trans. Mob. Comput., 16 (2): 300-313 (2017)Who is in Control? Practical Physical Layer Attack and Defense for mmWave based Sensing in Autonomous Vehicles., , , , , и . CoRR, (2020)A lightweight privacy-preserving truth discovery framework for mobile crowd sensing systems., , , , и . INFOCOM, стр. 1-9. IEEE, (2017)On the Discovery of Evolving Truth., , , , , , и . KDD, стр. 675-684. ACM, (2015)A Confidence-Aware Approach for Truth Discovery on Long-Tail Data., , , , , , , и . Proc. VLDB Endow., 8 (4): 425-436 (2014)Messages behind the sound: real-time hidden acoustic signal capture with smartphones., , , , , и . MobiCom, стр. 29-41. ACM, (2016)Data Poisoning Attack against Knowledge Graph Embedding., , , , , , и . IJCAI, стр. 4853-4859. ijcai.org, (2019)