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An Optimizing Technique for MDGT Using DRSA Algorithm Association with IP Traceback Strategies

  • Conference paper
Information and Communication Technologies (ICT 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 101))

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Abstract

DoS / DDoS(Distributed Denial of Service) attacks deny regular, internet services accessed by legitimate users, either by blocking the services completely, or by disturbing it completely, so as to cause customer baulking. Several traceback schemes are available to mitigate these attacks. The simulation approach also can be used to test the performing effects of different marking schemes in large-scale DDoS attacks. Based on the simulation and evaluation results, more efficient and effective algorithms, techniques and procedures to combat these attacks may be developed. DGT8, directional geographical trackback scheme, with 8 directions is one of them. Having a limited set of 8 directions, DGT8 may not work for routers with more than 8 interfaces. In this paper, we propose M-DGT i.e DGT 16, a 16 directional geographical traceback scheme having all the advantages of DGT. The 16 directions, though not having exactly equal interface, have nearly equal measures, and are identified using a novel scheme of Segment Direction Ratios (SDR). The SDR concept and the associated marking scheme allow the victim to defend against DDoS attacks independent of its ISP and also the generalization to DGT2n, having 2n directions (n>4).

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© 2010 Springer-Verlag Berlin Heidelberg

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Karthik, S., Arunachalam, V.P., Ravichandran, T., Valarmathi, M.L. (2010). An Optimizing Technique for MDGT Using DRSA Algorithm Association with IP Traceback Strategies. In: Das, V.V., Vijaykumar, R. (eds) Information and Communication Technologies. ICT 2010. Communications in Computer and Information Science, vol 101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15766-0_9

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  • DOI: https://doi.org/10.1007/978-3-642-15766-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15765-3

  • Online ISBN: 978-3-642-15766-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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