From Centralized Protection to Distributed Edge Collaboration: A Location Difference-Based Privacy-Preserving Framework for Mobile Crowdsensing

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Classification</td><td class="align_center">Number of users</td><td class="align_center">Privacy sensitivity</td><td class="align_center">Public service personnel</td><td class="align_center">Traffic flow</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Popular regions</td><td class="align_center">Abundant</td><td class="align_center">Low</td><td class="align_center">High</td><td class="align_center">High</td></tr><tr><td class="align_left">Remote regions</td><td class="align_center">Scarce</td><td class="align_center">High</td><td class="align_center">Low</td><td class="align_center">Low</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Difference between popular regions and remote regions.</div>

Security and Communication Networks

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Table 2

Table 2: From Centralized Protection to Distributed Edge Collaboration: A Location Difference-Based Privacy-Preserving Framework for Mobile Crowdsensing 

Table 2 | From Centralized Protection to Distributed Edge Collaboration: A Location Difference-Based Privacy-Preserving Framework for Mobile Crowdsensing 