• DocumentCode
    2946537
  • Title

    Determining vulnerability resolution time by examining malware proliferation rates

  • Author

    Seideman, Jeremy D. ; Khan, Bilal ; Ben Brahim, Ghassen

  • Author_Institution
    Grad. Sch. & Univ. Center, City Univ. of New York, New York, NY, USA
  • fYear
    2013
  • fDate
    1-5 July 2013
  • Firstpage
    1678
  • Lastpage
    1682
  • Abstract
    One of the ways that malware infects is by exploiting weaknesses in computer systems, often through conditions in software. When this happens, software and operating system vendors must repair these vulnerabilities by patching their software. However, vendors can release patches but cannot force users to apply them. Malware attempts to proliferate without regard to the state of the infected system; it is only once that the malware infection is stopped that we can truly say that systems are patched to eliminate that exploit. By examining appearance and disappearance of malware types, as determined through dynamic analysis of malware samples, classified by behavioral profiles correlated with a timeline of discovery dates, we can determine a more real-world average time for effective patch times, as opposed to the time it takes for a vendor to release a patch for a discovered vulnerability.
  • Keywords
    invasive software; operating systems (computers); computer system weaknesses; dynamic analysis; effective patch time; malware appearance; malware disappearance; malware proliferation rate; vulnerability resolution time; Computers; Educational institutions; Electronic mail; Malware; Operating systems; Malware; Malware Emergence; Malware Trends; Patch Time; Vulnerability Resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Mobile Computing Conference (IWCMC), 2013 9th International
  • Conference_Location
    Sardinia
  • Print_ISBN
    978-1-4673-2479-3
  • Type

    conf

  • DOI
    10.1109/IWCMC.2013.6583808
  • Filename
    6583808