Photo Crowdsourcing Based Privacy-Protected Healthcare

In this paper, the concept of crowdsourcing is applied to the medical field and a health monitoring mechanism based on photo crowdsourcing is proposed. Specifically, with photo crowdsourcing by many participators, the routine circumstances of users may be represented. However, these photos may include other people than the user, such as the visibility requestor, the invisibility requestor, and the passerby. The visibility and invisibility requestor are the participators in the system, whose identity can be set as visible or invisible, while the passerbys do not participate in the system. Hence, a privacy protection mechanism is proposed for this system, which includes two categories: i) The image fuzzy processing is provided for the invisibility requestor, while the original image is reserved for the visibility requestor. ii) The passerby's image is directly fuzzy processed for privacy protection.

[1]  Min Chen,et al.  A 5G Cognitive System for Healthcare , 2017, Big Data Cogn. Comput..

[2]  Jinjun Chen,et al.  HireSome-II: Towards Privacy-Aware Cross-Cloud Service Composition for Big Data Applications , 2015, IEEE Transactions on Parallel and Distributed Systems.

[3]  Kristin E. Lauter,et al.  Cryptographic Cloud Storage , 2010, Financial Cryptography Workshops.

[4]  Min Chen,et al.  Big-Data Analytics for Cloud, IoT and Cognitive Computing , 2017 .

[5]  Min Chen,et al.  Wearable 2.0: Enabling Human-Cloud Integration in Next Generation Healthcare Systems , 2017, IEEE Communications Magazine.

[6]  Keke Gai,et al.  Phase-Change Memory Optimization for Green Cloud with Genetic Algorithm , 2015, IEEE Transactions on Computers.

[7]  Yunhao Liu,et al.  Privacy-friendly photo capturing and sharing system , 2016, UbiComp.

[8]  Xi Fang,et al.  Incentive Mechanisms for Crowdsensing: Crowdsourcing With Smartphones , 2016, IEEE/ACM Transactions on Networking.

[9]  Ahmad-Reza Sadeghi,et al.  Efficient Privacy-Preserving Face Recognition , 2009, ICISC.

[10]  Yuan Zhang,et al.  On Designing Satisfaction-Ratio-Aware Truthful Incentive Mechanisms for $k$ -Anonymity Location Privacy , 2016, IEEE Transactions on Information Forensics and Security.

[11]  Min Chen,et al.  Smart Clothing: Connecting Human with Clouds and Big Data for Sustainable Health Monitoring , 2016, Mobile Networks and Applications.

[12]  Min Chen,et al.  SA-EAST , 2017, ACM Trans. Embed. Comput. Syst..

[13]  Meikang Qiu,et al.  Who Moved My Data? Privacy Protection in Smartphones , 2017, IEEE Communications Magazine.

[14]  Min Chen,et al.  Emotion Communication System , 2017, IEEE Access.

[15]  Meikang Qiu,et al.  Online optimization for scheduling preemptable tasks on IaaS cloud systems , 2012, J. Parallel Distributed Comput..

[16]  Meikang Qiu,et al.  Privacy Protection for Preventing Data Over-Collection in Smart City , 2016, IEEE Transactions on Computers.

[17]  Yunhao Liu,et al.  POP: Privacy-Preserving Outsourced Photo Sharing and Searching for Mobile Devices , 2015, 2015 IEEE 35th International Conference on Distributed Computing Systems.

[18]  Min Chen,et al.  iDoctor: Personalized and professionalized medical recommendations based on hybrid matrix factorization , 2017, Future Gener. Comput. Syst..

[19]  Min Chen,et al.  Software-Defined Mobile Networks Security , 2016, Mobile Networks and Applications.