Journal article Embargoed Access

Security Agent Location in the Internet of Things

Ioannou Christiana; Vassiliou Vasos


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="URL">https://zenodo.org/record/3522992</identifier>
  <creators>
    <creator>
      <creatorName>Ioannou Christiana</creatorName>
      <affiliation>University of Cyprus and RISE Research Center on Interactive Media, Smart Systems and Emerging Technologies</affiliation>
    </creator>
    <creator>
      <creatorName>Vassiliou Vasos</creatorName>
      <affiliation>University of Cyprus</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Security Agent Location in the Internet of Things</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>Security</subject>
    <subject>Internet of Things</subject>
    <subject>Monitoring</subject>
    <subject>Anomaly detection</subject>
    <subject>Wireless sensor networks</subject>
    <subject>Sensors</subject>
    <subject>Support vector machines</subject>
  </subjects>
  <dates>
    <date dateType="Available">2021-07-12</date>
    <date dateType="Accepted">2019-07-12</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3522992</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/ACCESS.2019.2928414</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/rise-teaming-cyprus</relatedIdentifier>
  </relatedIdentifiers>
  <version>Published</version>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode">Creative Commons Attribution Non Commercial No Derivatives 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/embargoedAccess">Embargoed Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The Internet of Things (IoT) provides the ability to extend the Internet into devices and everyday objects, in a way that they are uniquely addressable. Sensors, actuators, as well as everyday devices and objects, such as cellphones, cars, and homes, are interconnected and form a network that can be accessed, monitored, and controlled remotely. Security is an important subject in the IoT networks since the devices and the networks can be used as a means of invading the users&amp;#39; privacy. The current work examines the issue of security agent location using indicative intrusion detection techniques for network layer attacks. We analyze the methodology, operation, as well as the complexity of each technique. Through the extensive implementation and experimentation, we are able to conclude that the local security agents have the same performance results with centralized and decentralized approaches, but with negligible overhead. As such, they are useful when internal network communication, or network augmentation with monitoring nodes, is not feasible.&lt;/p&gt;</description>
    <description descriptionType="Other">This work has been partly supported by the project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 739578 (RISE – Call: H2020-WIDESPREAD-01-2016-2017-TeamingPhase2) and the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development.</description>
  </descriptions>
</resource>
29
10
views
downloads
Views 29
Downloads 10
Data volume 79.4 MB
Unique views 27
Unique downloads 10

Share

Cite as