Using agent technologies to correlate and compare anti-malware software

  • Authors:
  • Kellie Kercher;Dale C. Rowe;Haley Dennis

  • Affiliations:
  • Brigham Young University, Provo, UT;Brigham Young University, Provo, UT;Brigham Young University, Provo, UT

  • Venue:
  • Proceedings of the 2nd annual conference on Research in information technology
  • Year:
  • 2013

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Abstract

Malware is a fast growing threat that consists of software used to disrupt, or impact the confidentiality, availability or integrity of a user's computer experience. Antivirus software can help protect a user against these threats. There are numerous vendors users can choose from for their antivirus protection, each with their own set of virus definitions and various resources that are capable of recognizing new threats. However, there is no established system or process to measure and display data on the performance of antivirus vendors to new malware over an ongoing time period in real time. Such a mechanism would better inform end users of their security options in addition to informing organizations of prevalent threats occurring in networks. In this paper, we propose a cloud sourced malware reporting system that uses distributed agents to assess the performance of antivirus software based on malware signatures.