Team for Research in
Ubiquitous Secure Technology

Citation
Younghee Park. "Design of Policy Engine to Prevent Malware Propagation in AMI". Talk or presentation, 9, October, 2013.

Abstract
Malware can disrupt the efficient operation of valuable services in advanced metering infrastructure (AMI) through ever present threats on the Internet. To prevent such malevolent attacks, we must choke out malware propagation in AMI. In this paper, we propose a policy engine to block unwanted incoming or outgoing traffic through AMI systems. The policy engine is designed to use the standard AMI application layer protocol as well as the statistical characteristics of metering data. The experimental results demonstrate that the policy engine does identify metering data carrying malware according to the defined policy rules.

Electronic downloads

• Park_Trust_2.pdf · application/pdf · 1896 kbytes

• HTML

  Younghee Park. <a
  href="http://www.truststc.org/pubs/921.html"
  ><i>Design of Policy Engine to Prevent Malware
  Propagation in AMI</i></a>, Talk or
  presentation,  9, October, 2013.

• Plain text

  Younghee Park. "Design of Policy Engine to Prevent
  Malware Propagation in AMI". Talk or presentation,  9,
  October, 2013.

• BibTeX

  @presentation{Park13_DesignOfPolicyEngineToPreventMalwarePropagationInAMI,
      author = {Younghee Park},
      title = {Design of Policy Engine to Prevent Malware
                Propagation in AMI},
      day = {9},
      month = {October},
      year = {2013},
      abstract = {Malware can disrupt the efficient operation of
                valuable services in advanced metering
                infrastructure (AMI) through ever present threats
                on the Internet. To prevent such malevolent
                attacks, we must choke out malware propagation in
                AMI. In this paper, we propose a policy engine to
                block unwanted incoming or outgoing traffic
                through AMI systems. The policy engine is designed
                to use the standard AMI application layer protocol
                as well as the statistical characteristics of
                metering data. The experimental results
                demonstrate that the policy engine does identify
                metering data carrying malware according to the
                defined policy rules.},
      URL = {http://www.truststc.org/pubs/921.html}
  }
  

Posted by Carolyn Winter on 18 Nov 2013.
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