Detecting the onset of infection for secure hosts

  • Authors:
  • Kui Xu;Qiang Ma;Danfeng Yao

  • Affiliations:
  • Department of Computer Science, Virginia Tech;Department of Computer Science, Rutgers University;Department of Computer Science, Virginia Tech

  • Venue:
  • RAID'10 Proceedings of the 13th international conference on Recent advances in intrusion detection
  • Year:
  • 2010

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Abstract

Software flaws in applications such as a browser may be exploited by attackers to launch drive-by-download (DBD), which has become the major vector of malware infection. We describe a host-based detection approach against DBDs by correlating the behaviors of human-user related to file systems. Our approach involves capturing keyboard and mouse inputs of a user, and correlating these input events to file-downloading events. We describe a real-time monitoring system called DeWare that is capable of accurately detecting the onset of malware infection by identifying the illegal download-and-execute patterns.