PRISC: Privacy-Preserved Pandemic Infection Risk Computation Through Cellular-Enabled IoT Devices-Reference-Cited by-同舟云学术

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PRISC: Privacy-Preserved Pandemic Infection Risk Computation Through Cellular-Enabled IoT Devices

Published:2023-09-01 Issue:17 Volume:10 Page:15074-15086
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Feng Yizhou¹^ORCID,Zhang Qiao²,Wu Hongyi³,Xin Chunsheng¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA

2. College of Computer Science, Chongqing University, Chongqing, China

3. Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA

Funder

National Science Foundation

National Security Agency

Air Force Research Laboratory

Commonwealth Cyber Initiative

Fundamental Research Funds for the Central Universities, China

Technology Innovation and Development Key Project through the Chongqing Science and Technology Bureau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/6488907/10227658/10092871-aam.pdf

Reference32 articles.

1. A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation

2. DeepReco: Deep Learning Based Health Recommender System Using Collaborative Filtering

3. Privately Connecting Mobility to Infectious Diseases via Applied Cryptography

4. Protecting multi-party privacy in location-aware social point-of-interest recommendation

5. Efficient Batched Oblivious PRF with Applications to Private Set Intersection

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1. A lightweight attribute-based signcryption scheme based on cloud-fog assisted in smart healthcare;PLOS ONE;2024-01-30

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