Conference paper Open Access

FAIR: Fuzzy Alarming Index Rule for Privacy Analysis in Smartphone Apps

Hatamian, Majid; Serna-Olvera, Jetzabel; Rannenberg, Kai; Igler, Bodo


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <controlfield tag="005">20200120164958.0</controlfield>
  <controlfield tag="001">1117777</controlfield>
  <datafield tag="711" ind1=" " ind2=" ">
    <subfield code="d">August 2017</subfield>
    <subfield code="g">TrustBus 2017</subfield>
    <subfield code="a">International Conference On Trust, Privacy &amp; Security In Digital Business</subfield>
    <subfield code="c">Lyon, France</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Goethe University Frankfurt</subfield>
    <subfield code="a">Serna-Olvera, Jetzabel</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Goethe University Frankfurt</subfield>
    <subfield code="a">Rannenberg, Kai</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">RheinMain University of Applied Sciences</subfield>
    <subfield code="a">Igler, Bodo</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">1647172</subfield>
    <subfield code="z">md5:46208673122e00c8c9181daa25bc6c43</subfield>
    <subfield code="u">https://zenodo.org/record/1117777/files/fair.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="y">Conference website</subfield>
    <subfield code="u">http://www.ds.unipi.gr/trustbus2017/</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2017-08-01</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="o">oai:zenodo.org:1117777</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Goethe University Frankfurt</subfield>
    <subfield code="a">Hatamian, Majid</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">FAIR: Fuzzy Alarming Index Rule for Privacy Analysis in Smartphone Apps</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">675730</subfield>
    <subfield code="a">Privacy and Usabiliy</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution Non Commercial No Derivatives 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;In this paper, we introduce an approach that aims at increasing individuals&amp;rsquo; privacy awareness. We perform a privacy risk assessment of the smartphone applications (apps) installed on a user&amp;rsquo;s device. We implemented an app behaviour monitoring tool that collects information about access to sensitive resources by each installed app. We then calculate a privacy risk score using a fuzzy logic based approach that considers type, number and frequency of access on resources. The combination of these two concepts provides the user with information about the privacy invasiveness level of the monitored apps. Our approach enables users to make informed privacy decisions, i.e. restrict permissions or report an app based on resource access events. We evaluate our approach by analysing the behaviour of selected apps and calculating their associated privacy score. Initial results demonstrate the applicability of our approach, which allows the comparison of apps by reporting to the user the detected events and the resulting privacy risk score.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.1007/978-3-319-64483-7_1</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">conferencepaper</subfield>
  </datafield>
</record>
84
88
views
downloads
Views 84
Downloads 88
Data volume 145.0 MB
Unique views 84
Unique downloads 86

Share

Cite as