• DocumentCode
    1565943
  • Title

    Automated Process Classi?cation Framework using SELinux Security Context

  • Author

    Shinde, Pravin ; Sharma, Priyanka ; Guntupalli, Srinivas

  • Author_Institution
    Centre for Dev. of Adv. Comput., Mumbai
  • fYear
    2008
  • Firstpage
    592
  • Lastpage
    596
  • Abstract
    Stringent quality of service requirements from operating systems led to several extensions to the existing systems. These extensions aim at classifying the processes in a system at runtime to provide differentiated Quality of Service. Also there are many other applications which do need classification of processes for their working. The methods used for identifying the processes and grouping them, by different extensions have been ad-hoc. Enabling several of such extensions adds to the complexity of administering a system. We propose an automated mechanism to classify processes using some persistent characteristics of a process. We use persistent tokens (security contexts) added to all kernel objects by Security Enhanced Linux. We present the overall problem as three sub-problems viz., Notification, Classification and Enforcement. The proposed solution solves Notification and Classification problems. Enforcement is left to the specific application that uses the framework.
  • Keywords
    Linux; authorisation; operating system kernels; pattern classification; quality of service; SELinux security context; automated process classification framework; classification problem; differentiated QoS; enforcement problem; kernel objects; mandatory access control; notification problem; operating systems; persistent tokens; quality-of-service requirements; Communication system security; Context; Data security; Databases; Kernel; Linux; Monitoring; Operating systems; Quality of service; Resource management; pcss; process classification framework; process classification using selinux security context; selniux;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Availability, Reliability and Security, 2008. ARES 08. Third International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-0-7695-3102-1
  • Type

    conf

  • DOI
    10.1109/ARES.2008.154
  • Filename
    4529395