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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=swrl+rules">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/763/Capturing-policies-for-fine-grained-access-control-on-mobile-devices"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/759/Using-Semantic-Technologies-to-Mine-Vehicular-Context-for-Security"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/752/CyberTwitter-Using-Twitter-to-generate-alerts-for-Cybersecurity-Threats-and-Vulnerabilities"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/666/A-Semantic-Context-Aware-Privacy-Model-for-FaceBlock"/>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/763/Capturing-policies-for-fine-grained-access-control-on-mobile-devices">
  <title><![CDATA[Capturing policies for fine-grained access control on mobile devices]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/763/Capturing-policies-for-fine-grained-access-control-on-mobile-devices</link>
  <description><![CDATA[As of 2016, there are more mobile devices than humans on Earth. Today, mobile devices are a critical part of our lives and often hold sensitive corporate and personal data. As a result, they are a lucrative target for attackers, and managing data privacy and security on mobile devices has become a vital issue. Existing access control mechanisms in most devices are restrictive and inadequate. They do not take into account the context of a device and its user when making decisions. In many case...]]></description>
  <dc:date>2016-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/759/Using-Semantic-Technologies-to-Mine-Vehicular-Context-for-Security">
  <title><![CDATA[Using Semantic Technologies to Mine Vehicular Context for Security]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/759/Using-Semantic-Technologies-to-Mine-Vehicular-Context-for-Security</link>
  <description><![CDATA[The number of sensors, actuators and electronic
control units present in cars have increased in the last few years.
The Internet-of-Things (IoT) model has transformed modern
vehicles into a co-engineered interacting network of physical
and computational components. Vehicles have become a complex
cyber-physical system where context detection has become a
challenge. In this paper, we present a rule based approach for
context detection in vehicles. We also discuss various attack
surfaces...]]></description>
  <dc:date>2016-09-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/752/CyberTwitter-Using-Twitter-to-generate-alerts-for-Cybersecurity-Threats-and-Vulnerabilities">
  <title><![CDATA[CyberTwitter: Using Twitter to generate alerts for Cybersecurity Threats and Vulnerabilities]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/752/CyberTwitter-Using-Twitter-to-generate-alerts-for-Cybersecurity-Threats-and-Vulnerabilities</link>
  <description><![CDATA[In order to secure vital personal and organizational systems, we require timely intelligence on cybersecurity threats and vulnerabilities. Intelligence about these threats is generally available in both overt and covert sources, like the National Vulnerability Database, CERT alerts, blog posts, social media, and dark web resources. Intelligence updates about cybersecurity can be viewed as temporal events that a security analyst must keep up with so as to secure a computer system. We describe ...]]></description>
  <dc:date>2016-08-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/666/A-Semantic-Context-Aware-Privacy-Model-for-FaceBlock">
  <title><![CDATA[A Semantic Context-Aware Privacy Model for FaceBlock]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/666/A-Semantic-Context-Aware-Privacy-Model-for-FaceBlock</link>
  <description><![CDATA[Wearable computing devices like Google Glass are at the forefront of technological evolution in smart devices. The ubiquitous and oblivious nature of photography using these devices has made people concerned about their privacy in private and public settings. The Face-Block (http://face-block.me/) project protects the privacy of people around Glass users by making pictures taken by the latter, Privacy-Aware. Through sharing of privacy policies, users can choose whether or not to be included i...]]></description>
  <dc:date>2014-10-19</dc:date>
 </item>
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