Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related
  Geospatial Technologies   There is a growing need for spatial privacy considerations in the many
geo-spatial technologies that have been created as solutions for
COVID-19-related issues. Although effective geo-spatial technologies have
already been rolled out, most have significantly sacrificed privacy for
utility. In this paper, we explore spatial k-anonymity, a privacy-preserving
method that can address this unnecessary tradeoff by providing the best of both
privacy and utility. After evaluating its past implications in geo-spatial use
cases, we propose applications of spatial k-anonymity in the data sharing and
managing of COVID-19 contact tracing technologies as well as heat maps showing
a user's travel history. We then justify our propositions by comparing spatial
k-anonymity with several other spatial privacy methods, including differential
privacy, geo-indistinguishability, and manual consent based redaction. Our hope
is to raise awareness of the ever-growing risks associated with spatial privacy
and how they can be solved with Spatial K-anonymity.

26
The categories of this paper are: bayes-an
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph
8
The categories of this paper are: hep-ex
2
The categories of this paper are: math