Multi-variant network address hopping to defend stealthy crossfire attack

被引：0

作者：

Boyang ZHOU ^{[1
]}

Gaoning PAN ^{[2
]}

Chunming WU ^{[1
,2
]}

Kai ZHU ^{[2
]}

Wei RUAN ^{[3
]}

机构：

[1] Zhejiang Lab

[2] College of Computer Science, Zhejiang University

[3] College of Control Science and Engineering, Zhejiang University

来源：

Science China(Information Sciences) | 2020年 / 63卷 / 06期

关键词：

TTL; Multi-variant network address hopping to defend stealthy crossfire attack;

D O I：

暂无

中图分类号：

TP393.08 [];

学科分类号：

0839 ; 1402 ;

摘要：

Dear editor,Recently, crossfire attack has been witnessed as a new distributed denial-of-service (DDoS) weapon that can effectively cut off the data connections between the chosen target area (wd) of servers and the end hosts (H). The attack is launched by a network of bot (botnet) to drain bandwidth of persistent routes (PRs) in the indirect and lowrate data flooding towards the decoys that are located in upstream to the target, where the PRs are

引用

页码：241 / 243

页数：3

共 7 条

[1] Multi-variant network address hopping to defend stealthy crossfire attack
Boyang Zhou
Gaoning Pan
Chunming Wu
Kai Zhu
Wei Ruan
Science China Information Sciences, 2020, 63
[2] Multi-variant network address hopping to defend stealthy crossfire attack
Zhou, Boyang
Pan, Gaoning
Wu, Chunming
Zhu, Kai
Ruan, Wei
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 63 (06)
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[7] MVFSIGM: multi-variant feature-based synthesis image generation model for improved stability using generative adversarial network
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