• DocumentCode
    831327
  • Title

    Cybersecurity Strategies: The QuERIES Methodology

  • Author

    Carin, Lawrence ; Cybenko, George ; Hughes, Jeff

  • Author_Institution
    Duke Univ., Durham, NC
  • Volume
    41
  • Issue
    8
  • fYear
    2008
  • Firstpage
    20
  • Lastpage
    26
  • Abstract
    QuERIES offers a novel multidisciplinary approach to quantifying risk associated with security technologies resulting in investment-efficient cybersecurity strategies. R esearchers can use the QuERIES methodology to rigorously determine, for the first time, appropriate investment levels and strategies for the protection of intellectual property in complex systems. As a result, it can have a significant and immediate impact on the protection of critical IP, including weapons systems and chip designs, complex computer software, and databases containing personal and financial information. In this paper, initial testing of QuERIES in small-scale, realistic scenarios, were performed with results that suggest the methodology can significantly improve risk assessments in complex systems under attack by rational and capable adversaries. Such systems include software, hardware, and data critical to national security and industrial competitiveness. Consequently, it is believed that QuERIES has wide applicability within both the DoD and private sectors.
  • Keywords
    IP networks; industrial property; national security; risk management; security of data; telecommunication security; DoD sectors; QuERIES; chip designs; complex computer software; critical IP protection; cybersecurity; databases; financial information; industrial competitiveness; intellectual property; investment efficient strategies; national security; personal information; private sectors; quantitative risk evaluation; risk assessments; weapons systems; Chip scale packaging; Computer security; Databases; Intellectual property; Investments; Performance evaluation; Protection; Software; System testing; Weapons; IP protection; cybersecurity; game theory; risk assessment;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/MC.2008.295
  • Filename
    4597131