Memory-efficient IP filtering for countering DDoS attacks

  • Authors:
  • Seung Yeob Nam;Taijin Lee

  • Affiliations:
  • Dept. of Information and Communication Engineering, Yeungnam University, Gyeongsan-si, Gyeongbook, Korea;KISA, IT Infrastructure Protection Division, Seoul, Korea

  • Venue:
  • APNOMS'09 Proceedings of the 12th Asia-Pacific network operations and management conference on Management enabling the future internet for changing business and new computing services
  • Year:
  • 2009

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Abstract

We propose a two-stage Distributed Denial of Service (DDoS) defense system, which can protect a given subnet by serving existing flows and new flows with a different priority based on IP history information. Denial of Service (DoS) usually occurs when the resource of a network node or link is limited and the demand of the users for that resource exceeds the capacity. The objective of the proposed defense system is to provide continued service to existing flows even in the presence of DDoS attacks, and we attempt to achieve this goal by discriminating existing flows from new flows. The proposed scheme can protect existing connections effectively with a reduced memory size by reducing the monitored IP address set through sampling in the first stage and using Bloom filters. We evaluate the performance of the proposed scheme through simulation.