• DocumentCode
    3377473
  • Title

    Sentinel: Hardware-Accelerated Mitigation of Bot-Based DDoS Attacks

  • Author

    Djalaliev, Peter ; Jamshed, Muhammad ; Farnan, Nicholas ; Brustoloni, José

  • Author_Institution
    Dept. of Comput. Sci., Pittsburgh Univ., Pittsburgh, PA
  • fYear
    2008
  • fDate
    3-7 Aug. 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Effective defenses against DDoS attacks that deplete resources at the network and transport layers have been deployed commercially. Therefore, DDoS attacks increasingly use normal- looking application-layer requests to waste server CPU or disk capacity. CAPTCHAs attempt to distinguish bots from human clients and are often used to avoid such attacks. However, CAPTCHAs themselves consume resources and frequently are defeated. Kill-Bots reduces CAPTCHA overhead by pushing client authentication into the kernel. However, Kill-Bots requires kernel modifications, which can be infeasible. We describe the design, implementation, and performance evaluation of Sentinel, a network device that overcomes several limitations in Kill-Bots. Sentinel can be easily deployed as a bridge in front of server farms, modularly accepts a variety of present and future authentication schemes, and can use network processors to accelerate authentication. Experiments show that Sentinel greatly reduces the impact of DDoS attacks on the response time experienced by legitimate clients.
  • Keywords
    Internet; security of data; Bot-based DDoS attacks; Kill-Bots; hardware-accelerated mitigation; network processors; Acceleration; Authentication; Bridges; Central Processing Unit; Computer crime; Kernel; Network servers; Operating systems; Telecommunication traffic; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications and Networks, 2008. ICCCN '08. Proceedings of 17th International Conference on
  • Conference_Location
    St. Thomas, US Virgin Islands
  • ISSN
    1095-2055
  • Print_ISBN
    978-1-4244-2389-7
  • Electronic_ISBN
    1095-2055
  • Type

    conf

  • DOI
    10.1109/ICCCN.2008.ECP.123
  • Filename
    4674283