• DocumentCode
    2665598
  • Title

    AntiWorm NPU-based Parallel Bloom Filters for TCP/IP Content Processing in Giga-Ethernet LAN

  • Author

    Zhen Chen ; Chuang Lin ; Jia Ni ; Bo Zheng ; Xue-hai Peng ; Yang Wang ; An-An Luo ; Bing Zhu ; Yao Yue ; Feng-yuan Ren

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
  • fYear
    2005
  • fDate
    17-17 Nov. 2005
  • Firstpage
    748
  • Lastpage
    755
  • Abstract
    TCP/IP protocol suite carries most application data in Internet. TCP flow retrieval has more security meanings than the IP packet payload. Hence, monitoring the TCP flow has more strength than only monitoring the IP packet payload in the AntiWorm system. The main idea of this paper is to use the flexibility and high performance of network processors to scan TCP flow for locating worm´s binary codes, and cut off their propagation. A stateful TCP flow inspection engine is implemented based on IXP network processor, which can monitor about 512K flows. The performance issues about IXP network processors are evaluated and collected, and an analysis is made for further optimizing the system performance. The system is also demonstrated and proved by using the Internet traces and real assaults of Worms. Software Package TCPScanner 1.0 is also given as a software release of the research
  • Keywords
    local area networks; packet switching; transport protocols; AntiWorm system; IXP network processor; Internet; TCP/IP content processing; TCP/IP protocol; TCPScanner 1.0; giga-Ethernet LAN; parallel bloom filters; Binary codes; Data security; Information filtering; Information filters; Internet; Local area networks; Monitoring; Payloads; Protocols; TCPIP; Deep Packet Inspection; Network Processors; Network Security; Parallel Bloom Filter; Stateful TCP inspection.; TCP/IP Protocol suite; Worms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Local Computer Networks, 2005. 30th Anniversary. The IEEE Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0742-1303
  • Print_ISBN
    0-7695-2421-4
  • Type

    conf

  • DOI
    10.1109/LCN.2005.31
  • Filename
    1550959