• DocumentCode
    3659233
  • Title

    Automatic detection of vulnerabilities for advanced security analytics

  • Author

    Marian Gawron;Feng Cheng;Christoph Meinel

  • Author_Institution
    Hasso Plattner Institute, University of Potsdam, 14482, Potsdam, Germany
  • fYear
    2015
  • Firstpage
    471
  • Lastpage
    474
  • Abstract
    The detection of vulnerabilities in computer systems and computer networks as well as the weakness analysis are crucial problems. The presented method tackles the problem with an automated detection. For identifying vulnerabilities the approach uses a logical representation of preconditions and postconditions of vulnerabilities. The conditional structure simulates requirements and impacts of each vulnerability. Thus an automated analytical function could detect security leaks on a target system based on this logical format. With this method it is possible to scan a system without much expertise, since the automated or computer-aided vulnerability detection does not require special knowledge about the target system. The gathered information is used to provide security advisories and enhanced diagnostics which could also detect attacks that exploit multiple vulnerabilities of the system.
  • Keywords
    "Databases","Security","Browsers","Operating systems","Data models","Complexity theory"
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (APNOMS), 2015 17th Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APNOMS.2015.7275369
  • Filename
    7275369