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Article . 2005 . Peer-reviewed
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MAFIC: Adaptive Packet Dropping for Cutting Malicious Flows to Push Back DDoS Attacks

Authors: Kwok, YK; Hwang, K; Chen, Y;

MAFIC: Adaptive Packet Dropping for Cutting Malicious Flows to Push Back DDoS Attacks

Abstract

In this paper, we propose a new approach called MAFIC (malicious flow identification and cutoff) to support adaptive packet dropping to fend off DDoS attacks. MAFIC works by judiciously issuing lightweight probes to flow sources to check if they are legitimate. Through such probing, MAFIC would drop malicious attack packets with high accuracy while minimizes the loss on legitimate traffic flows. Our NS-2 based simulation indicates that MAFIC algorithm drops packets from unresponsive potential attack flows with an accuracy as high as 99% and reduces the loss of legitimate flows to less than 3%. Furthermore, the false positive and negative rates are low-only around 1% for a majority of the cases.

Country
China (People's Republic of)
Related Organizations
Keywords

Probing, Duplicated ACKs, Malicious flows, DDoS defense, Packet dropping policy

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Average
Top 10%
Top 10%