DDoS攻撃によるバックスキャッタ検出に関する研究

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  • DDoS コウゲキ ニ ヨル バックスキャッタ ケンシュツ ニ カンスル ケンキュウ
  • A study on Detection System of Backscatter due to DDoS Attack

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In this paper, we consider the machine learning system, which was proposed in a preceding work, that detects Distributed Denial of Service (DDoS) backscatter packets from those observed in the darknet. We analyze the effect of 14 feature values on the precision and the learning time of the system. Packets for 80/TCP are used for this study. It is shown that some feature values improve precision of backscatter detection at the cost of the learning speed, and the other increase the learning speed with little loss of precision.

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