• DocumentCode
    622770
  • Title

    Quantitative Assessment of Risk Reduction with Cybercrime Black Market Monitoring

  • Author

    Allodi, Luca ; Woohyun Shim ; Massacci, F.

  • Author_Institution
    DISI, Univ. of Trento, Trento, Italy
  • fYear
    2013
  • fDate
    23-24 May 2013
  • Firstpage
    165
  • Lastpage
    172
  • Abstract
    Cybercrime is notoriously maintained and empowered by the underground economy, manifested in black markets. In such markets, attack tools and vulnerability exploits are constantly traded. In this paper, we focus on making a quantitative assessment of the risk of attacks coming from such markets, and investigating the expected reduction in overall attacks against final users if, for example, vulnerabilities traded in the black markets were all to be promptly patched. In order to conduct the analysis, we mainly use the data on (a) vulnerabilities bundled in 90+ attack tools traded in the black markets collected by us; (b) actual records of 9 × 107 attacks collected from Symantec´s Data Sharing Programme WINE. Our results illustrate that black market vulnerabilities are an important source of risk for the population of users; we further show that vulnerability mitigation strategies based on black markets monitoring may outperform traditional strategies based on vulnerability CVSS scores by providing up to 20% more expected reduction in attacks.
  • Keywords
    computer crime; risk management; stock markets; Symantec data sharing programme; WINE programme; attack tools; black market vulnerabilities; cybercrime black market monitoring; quantitative risk reduction assessment; underground economy; user population; vulnerability CVSS scores; vulnerability exploits; vulnerability mitigation strategies; Browsers; Computer crime; Market research; Monitoring; Servers; Software; black markets; cybercime; exploits; vulnerabilities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security and Privacy Workshops (SPW), 2013 IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4799-0458-7
  • Type

    conf

  • DOI
    10.1109/SPW.2013.16
  • Filename
    6565246