id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-218383-t2lwqrpb	Whaiduzzaman, Md	A Privacy-preserving Mobile and Fog Computing Framework to Trace and Prevent COVID-19 Community Transmission	2020-06-23		.txt	text/plain	7001	432	57	To address this problem, we develop an e-government Privacy Preserving Mobile and Fog computing framework entitled PPMF that can trace infected and suspected cases nationwide. We use personal mobile devices with contact tracing app and two types of stationary fog nodes, named Automatic Risk Checkers (ARC) and Suspected User Data Uploader Node (SUDUN), to trace community transmission alongside maintaining user data privacy. However, to the best of our knowledge, there is no integrated fog computing framework alongside contact tracing mobile apps that allows tracing community transmission while preserving users' data privacy. However, most of these applications and frameworks have failed to ensure user data privacy and suffer from other issues, such as mandatory use of apps, excessive data gathering, questionable transparency of source codes and data flow, unnecessary data usage or processing, and lack of user control in data deletion. Our proposed privacy-preserving e-government framework has four major components: user mobile device and two types of fog nodes (ARC and SUDUN), and a central cloud application that integrates these nodes.	./cache/cord-218383-t2lwqrpb.txt	./txt/cord-218383-t2lwqrpb.txt