文件名称:CounterLow-rateDenial-of-ServiceAttacks
- 所属分类：
- 人工智能/神经网络/遗传算法
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- [PDF]
- 上传时间：
- 2012-11-26
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- 257kb
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The existing Random Early Detection (RED) algo-
rithm and its variants are found vulnerable to emerging attacks,especially the Low-rate Denial-of-Service (LDoS) attacks. In this
letter we propose a Robust RED (RRED) algorithm to improve the TCP throughput against LDoS attacks. The basic idea behind
the RRED is to detect and fi lter out attack packets before a normal RED algorithm is applied to incoming fl ows. We conduct
a set of simulations to evaluate the performance of the proposed RRED algorithm. The results show that, compared to existing
RED-like algorithms, the RRED algorithm nearly fully preserves the TCP throughput in the presence of LDoS attacks.
rithm and its variants are found vulnerable to emerging attacks,especially the Low-rate Denial-of-Service (LDoS) attacks. In this
letter we propose a Robust RED (RRED) algorithm to improve the TCP throughput against LDoS attacks. The basic idea behind
the RRED is to detect and fi lter out attack packets before a normal RED algorithm is applied to incoming fl ows. We conduct
a set of simulations to evaluate the performance of the proposed RRED algorithm. The results show that, compared to existing
RED-like algorithms, the RRED algorithm nearly fully preserves the TCP throughput in the presence of LDoS attacks.
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CounterLow-rateDenial-of-ServiceAttacks.pdf