A Table-driven approach for IP traceback based on network statistic analysis

Wei Tsung Su, Yi Hsun Chuang, Zong Bing Wu, Yau Hwang Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

IP-spoofed DDoS attack is a serious security problem in Internet. Thus, an IP traceback approach is essential. In this paper, a fast IP traceback approach (FTA) based on network statistic analysis is proposed. By maintaining the Branch Label Table (BLT) which contains some network statistics in edge routers, the time of IP traceback procedure is efficiently reduced. In addition, an adaptive packet filter is proposed to mitigate the DDoS attacks. The packet drop rate adapts to the location of DDoS attackers and the queue length. Finally, ns-2 simulation is conducted to evaluate FTA. The simulation results show FTA substantially accelerates IP traceback procedure. Moreover, the proposed adaptive packet filter efficiently mitigates the DDoS attacks.

Original languageEnglish
Title of host publication11th International Conference on Advanced Communication Technology, ICACT 2009 - Proceedings
Pages1633-1637
Number of pages5
Publication statusPublished - 2009 Jul 10
Event11th International Conference on Advanced Communication Technology, ICACT 2009 - Phoenix Park, Korea, Republic of
Duration: 2009 Feb 152009 Feb 18

Publication series

NameInternational Conference on Advanced Communication Technology, ICACT
Volume3
ISSN (Print)1738-9445

Other

Other11th International Conference on Advanced Communication Technology, ICACT 2009
CountryKorea, Republic of
CityPhoenix Park
Period09-02-1509-02-18

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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