The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Security and privacy in mobile crowdsourcing networks: challenges and opportunities
Abstract
The mobile crowdsourcing network (MCN) is a promising network architecture that applies the principles of crowdsourcing to perform tasks with human involvement and powerful mobile devices. However, it also raises some critical security and privacy issues that impede the application of MCNs. In this article, in order to better understand these critical security and privacy challenges, we first propose a general architecture for a mobile crowdsourcing network comprising both crowdsourcing sensing and crowdsourcing computing. After that, we set forth several critical security and privacy challenges that essentially capture the characteristics of MCNs. We also formulate some research problems leading to possible research directions. We expect this work will bring more attention to further investigation on security and privacy solutions for mobile crowdsourcing networks.
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Cites
DAC-MACS: Effective Data Access Control for Multiauthority Cloud Storage Systems
Yang, K., Jia, X., Ren, K., Zhang, B., & Xie, R. (2013) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2013.2279531 · Cited by 310 · cited 1×
“Thus, we can apply attribute-based access control schemes [13, 14] to protect task privacy.”
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Cited by
A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems
Cai, Z., & Zheng, X. (2020) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2018.2830307 · Cited by 553
Crowdbc: a blockchain-based decentralized framework for crowdsourcing
Li, M., Weng, J., Yang, A., Lu, W., Zhang, Y., Hou, L., Liu, J.-N., Xiang, Y., & Deng, R. H. (2019) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2018.2881735 · Cited by 522
ZebraLancer: Private and Anonymous Crowdsourcing System atop Open Blockchain
Lu, Y., Tang, Q., & Wang, G. (2018) · 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2018.00087 · Cited by 224
Edge Caching for Layered Video Contents in Mobile Social Networks
Su, Z., Xu, Q., Hou, F., Yang, Q., & Qi, Q. (2017) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2017.2733338 · Cited by 76
Metadata
- Authors
- Yang, K., Zhang, K., Ren, J., & Shen, X.
- Venue
- IEEE Communications Magazine
- Published
- 2015-08
- Volume
- 53
- Issue
- 8
- Pages
- 75-81
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2146277225
- Cited by
- 208
- References
- 1
- FWCI
- 41.72
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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