摘要
The filter-based reactive packet filtering is a key technology in attack traffic filtering for defending against the Denial-of- Service （DOS） attacks. Two kinds of relevant schemes have been proposed as victim- end filtering and source-end filtering. The first scheme prevents attack traffic from reaching the victim, but causes the huge loss of legitimate flows due to the scarce filters （termed as collateral damages）; the other extreme scheme can obtain the sufficient filters, but severely degrades the network transmission performance due to the abused filtering routers. In this paper, we propose a router based packet filtering scheme, which provides relatively more filters while reducing the quantity of filtering touters. We implement this scheme on the emulated DoS scenarios based on the synthetic and real-world Internet topologies. Our evaluation results show that compared to the previous work, our scheme just uses 20% of its filtering routers, but only increasing less than 15 percent of its collateral damage.
The filter-based reactive packet filtering is a key technology in attack traffic filtering for defending against the Denial-ofService(DoS) attacks.Two kinds of relevant schemes have been proposed as victimend filtering and source-end filtering.The first scheme prevents attack traffic from reaching the victim,but causes the huge loss of legitimate flows due to the scarce filters(termed as collateral damages);the other extreme scheme can obtain the sufficient filters,but severely degrades the network transmission performance due to the abused filtering routers.In this paper,we propose a router based packet filtering scheme,which provides relatively more filters while reducing the quantity of filtering routers.We implement this scheme on the emulated DoS scenarios based on the synthetic and real-world Internet topologies.Our evaluation results show that compared to the previous work,our scheme just uses 20%of its filtering routers,but only increasing less than 15 percent of its collateral damage.
基金
supported in part by the funding agencies of china:the Doctoral Fund of Northeastern University of Qinhuangdao(Grant No.XNB201410)
the Fundamental Research Funds for the Central Universities(Grant No.N130323005)
