Trends for Mobile IoT Crowdsourcing Privacy and Security in the Big Data Era
Author:
Affiliation:
1. Computer Engineering and Computer Science Department, California State University, Long Beach, CA, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Medicine
Link
http://xplorestaging.ieee.org/ielx7/8566059/9889775/09830766.pdf?arnumber=9830766
Reference111 articles.
1. Providing Task Allocation and Secure Deduplication for Mobile Crowdsensing via Fog Computing
2. Secure Fog-Assisted Crowdsensing With Collusion Resistance: From Data Reporting to Data Requesting
3. Preserving Location Privacy in Spatial Crowdsourcing Under Quality Control
4. DNN-DP: Differential Privacy Enabled Deep Neural Network Learning Framework for Sensitive Crowdsourcing Data
5. DeePGA: A Privacy-Preserving Data Aggregation Game in Crowdsensing via Deep Reinforcement Learning
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