• DocumentCode
    3427428
  • Title

    Short Paper: bufSTAT - a tool for early detection and classification of buffer overflow attacks

  • Author

    Radosavac, Svetlana ; Seamon, Karl ; Baras, John S.

  • Author_Institution
    University of Maryland
  • fYear
    2005
  • fDate
    05-09 Sept. 2005
  • Firstpage
    231
  • Lastpage
    233
  • Abstract
    Buffer overflows constitute by far the most frequently encountered class of attacks against computer systems. In this paper we introduce a tool, termed bufSTAT that achieves a low probability of false alarm and issues early attack warnings. BufSTAT relies on Finite State Machines (FSM) for attack modeling and can detect every stage of an ongoing attack and can thus prevent its execution by issuing early warning in a progressive manner. It can also detect sophisticated multi-stage attacks that are executed over long periods of time. A significant attribute of our approach is that it is amenable to detecting unknown attacks as well after appropriate modification of bufSTAT.
  • Keywords
    Automata; Buffer overflow; Computer networks; Computer security; Delay; Educational institutions; Event detection; Hidden Markov models; Intrusion detection; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security and Privacy for Emerging Areas in Communications Networks, 2005. SecureComm 2005. First International Conference on
  • Print_ISBN
    0-7695-2369-2
  • Type

    conf

  • DOI
    10.1109/SECURECOMM.2005.38
  • Filename
    1607577