Survey of DDoS defense:challenges and directions

Fei CHEN; Xiao-hong BI; Jing-jing WANG; Yuan LIU

doi:10.11959/j.issn.2096-109x.2017.00202

您当前的位置：

首页 >

文章列表页 >

Survey of DDoS defense:challenges and directions

Comprehensive Reviews | 更新时间：2024-06-03

- Survey of DDoS defense:challenges and directions
- Chinese Journal of Network and Information Security Vol. 3, Issue 10, Pages: 16-24(2017)
- 作者机构：
  
  1. 江南大学数字媒体学院，江苏无锡 214122
  2. 江苏省媒体设计与软件技术重点实验室（江南大学），江苏无锡 214122
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2017.00202
  CLC： TP393
- Online First：2017-10，
  
  Published：15 October 2017
- 稿件说明：
移动端阅览
Fei CHEN, Xiao-hong BI, Jing-jing WANG, et al. Survey of DDoS defense:challenges and directions[J]. Chinese Journal of Network and Information Security, 2017, 3(10): 16-24.
DOI：

Fei CHEN, Xiao-hong BI, Jing-jing WANG, et al. Survey of DDoS defense:challenges and directions[J]. Chinese Journal of Network and Information Security, 2017, 3(10): 16-24. DOI： 10.11959/j.issn.2096-109x.2017.00202.

摘要

分布式拒绝服务攻击（DDoS）是当前互联网面临的主要威胁之一，如何对 DDoS 攻击进行快速准确的检测以及有效的防御一直是网络信息安全领域的研究热点。从早期的集中式防御技术，到以云计算、SDN为基础的综合型防御体系，针对DDoS攻击各个时期的相关防御技术进行了总结。结合DDoS攻击的特性，系统地分析了各类防御机制在不同应用场景中的优点和潜在问题，为下一代网络安全体系构建提供新的思路和参考。

Abstract

The distributed denial of server (DDoS) attack is a major threat to the Internet.Numerous works have been proposed to deal with this problem through attack detection and defense mechanism design.A survey was presented to introduce the DDoS defense technologies

from the traditional strategies

through Cloud-based systems

toward SDN-based mechanisms.According to the characteristics of DDoS attack

the features and drawbacks of these systems were discussed

which could provide new insights for the development of the new generation of network security framework in the future.

关键词

Keywords

references

诸葛建伟 , 韩心彗 , 周勇林 , 等 . 僵尸网络研究与进展 [J ] . 软件学报 , 2008 , 19 ( 3 ): 702 - 715 .

ZHU-GE J W , HAN X H , ZHOU Y L , et al . Research and development of Botnets [J ] . Journal of Software , 2008 , 19 ( 3 ): 702 - 715 .

SMITH J , SIMS J . Securing cloud,SDN and large data network environments from emerging DDoS attacks [C ] // The International Conference on Cloud Computing,Data Science ＆ Engineering . 2017 .

AHMED M E , KIM H . DDoS attack mitigation in internet of things using software defined networking [J ] . Proceedings of Big Data Computing Service and Applications , 2017 .

HOQUE N , BHATTACHARYYA D K , KALITA J K . Botnet in DDoS Attacks:Trends and Challenges [J ] . IEEE Communications Surveys ＆ Tutorials , 2015 , 17 ( 4 ): 2242 - 2270 .

MIRKOVIC J , REIHER P . A taxonomy of DDoS attack and DDoS defense mechanisms [J ] . ACM Sigcomm Computer Communications Review , 2004 , 34 ( 2 ): 39 - 53 .

ZARGAR S T , JOSHI J , TIPPER D . A survey of defense mechanism against distributed denial of service flooding attacks [J ] . IEEE Communications Surveys ＆ Tutorials , 2013 , 15 ( 4 ): 2046 - 2069 .

GIL T M , POLETTO M . MULTOPS:a data-structure for bandwidth attach detection [C ] // The 10th Conference on USENIX Security Symposium . 2001 .

MIRKOVIC J , REIHER P . D-WARD:a source-end defense against flooding denial-of-service attacks [J ] . IEEE Transactions on Dependable and Secure Computing , 2005 , 2 ( 3 ): 216 - 232 .

YAO G , BI J , VASILAKOS A V . Passive IP traceback:disclosing the locations of ip spoofers from path backscatter [J ] . IEEE Transactions on Information Forensics and Security , 2015 , 10 ( 3 ): 471 - 484 .

KANSAL V , DAVE M . Proactive DDoS attack detection and isolation [C ] // The International Conference on Computer,Communications and Electronics . 2017 .

LU N , SU S , JING M , et al . A router based packet filtering scheme for defending against DoS attacks [J ] . IEEE China Communications , 2014 , 11 ( 10 ): 136 - 146 .

MIZRAK A T , SAVAGE S , MARZULLO K . Detecting compromised routers via packet forwarding behavior [J ] . IEEE Network , 2008 , 22 ( 2 ): 34 - 39 .

MAHAJAN R , BELLOVIN S M . Controlling high bandwidth aggregates in the network [J ] . ACM Sigcomm Computer Communication Review , 2002 , 32 ( 3 ): 62 - 73 .

LIU X , YANG X , LU Y . To filter or to authorize:network-layer DoS defense against multimillion-node botnets [C ] // ACM Sigcomm Conference on Data Communication . 2008 : 195 - 206 .

柳袆 , 付枫 , 孙鑫 . 基于全局网络PCA的DDoS攻击检测方法 [J ] . 计算机应用研究 , 2012 , 29 ( 6 ): 2205 - 2207 .

LIU Y , FU F , SUN X . DDoS detection method based on network-wide PCA [J ] . Application Research of Computers , 2012 , 29 ( 6 ): 2205 - 2207 .

黄靖 , 杨树堂 , 陆松年 . 一种基于流量控制技术的分布式 DDoS攻击检测框架研究 [J ] . 计算机应用与软件 , 2008 , 25 ( 6 ): 6 - 7 .

HUANG J , YANG S T , LU S N . On framework of distributed DDOS attack detection based on flow control technique [J ] . Application Research of Computers , 2008 , 25 ( 6 ): 6 - 7 .

田晓朋 , 邬家炜 , 陈孝全 . 基于DDoS攻击的检测防御模型的研究 [J ] . 计算机工程与科学 , 2009 , 31 ( 1 ): 14 - 16 .

TIAN X P , WU J W , CHEN X Q . Research on the model of detection and defense based on DDoS attacks [J ] . Computer engineering and science , 2009 , 31 ( 1 ): 14 - 16 .

PARK K , LEE H . On the effectiveness of route-based packet filtering for distributed DoS attack prevention in power-law Internets [J ] . ACM Sigcomm Computer Communication Review , 2001 , 31 ( 4 ): 15 - 26 .

YAAR A , PERRIG A , SONG D . StackPi:new packet marking and filtering mechanisms for DDoS and IP spoofing defense [J ] . IEEE Journal on Selected Areas in Communications , 2006 , 24 ( 10 ): 1853 - 1863 .

YAU D K Y , LUI J C S , LIANG F . Defending against distributed denial-of-service attacks with max-min fair server-centric router throttles [C ] // The 10th IEEE International Workshop on Quality of Service . 2002 : 35 - 44 .

KIM J , SHIN S . Software-defined HoneyNet:towards mitigating link flooding attacks [C ] // IEEE/IFIP International Conference on Dependable Systems and Networks . 2017 .

YANG M H , YANG M C . RIHT:a novel hybrid IP traceback scheme [J ] . IEEE Transactions on Information Forensics and Security , 2012 , 7 ( 2 ): 789 - 797 .

KARASAWA T , SOSHI M , MIYAJI A . A novel hybrid IP traceback scheme with packet counters [C ] // The 5th International Conference on Internet and Distributed Computing Systems . 2012 .

WANG B , ZHENG Y , LOU W , et al . DDoS attack protection in the era of cloud computing and software-defined networking [J ] . Elsevier Computer Networks , 2015 , 81 ( C ): 308 - 319 .

WANG H , JIN C , SHIN K G . Defense against spoofed IP traffic using hop-count filtering [J ] . IEEE/ACM Transactions on Networking , 2007 , 15 ( 1 ): 40 - 53 .

PATIL S P , PATIL Y S . A survey on DDoS attacks and its defending methods in cloud [J ] . International Journal of Innovative Research in Computer and Communication Engineering , 2015 , 3 ( 11 ): 119878 - 11976 .

SAHI A , LAI D , LI Y , et al . An efficient DDoS TCP flood attack detection and prevention system in a cloud environment [J ] . IEEE Access , 2017 , 5 : 6036 - 6048 .

RUKAVITSYN A , BORISENKO K , SHOROV A . Self-learning method for DDoS detection model in cloud computing [C ] // IEEE Young Researchers in Electrical and Electronic Engineering . 2017 : 544 - 547 .

WAHAB O A , BENTAHAR J , OTROK H , et al . Optimal load distribution for the detection of VM-based DDoS attacks in the cloud [J ] . IEEE Transactions on Services Computing , 1939 ,( 99 ):1.

LUA R , YOW K C . Mitigating DDoS attacks with transparent and intelligent fast-flux swarm network [J ] . IEEE Network , 2011 , 25 ( 4 ): 28 - 33 .

CHEN J , WANG Y , WANG X . On-demand security architecture for cloud computing [J ] . Computer , 2012 , 45 ( 7 ): 73 - 78 .

SOMANI G , GAUR M S , SANGHI D , et al . Combating DDoS attacks in the cloud:requirements,trends,and future directions [J ] . IEEE Cloud Computing , 2017 , 4 ( 1 ): 22 - 32 .

DAYAL N , SRIVASTAVA S . Analyzing behavior of DDoS attacks to identify DDoS detection features in SDN [C ] // The International Conference on Communication Systems and Networks . 2017 : 274 - 281 .

MEHDI S A , KHALID J , KHAYAM S A . Revisiting traffic anomaly detection using software defined networking [C ] // The International Conference on Recent Advances in Intrusion Detection . 2011 : 161 - 180 .

JIN R , WANG B . Malware detection for mobile devices using software-defined networking [C ] // IEEE Research and Educational Experiment Workshop . 2013 : 81 - 88 .

YAO G , BI J , XIAO P . Source address validation solution with OpenFlow/NOX architecture [C ] // IEEE International Conference on Network Protocols,IEEE Computer Society . 2011 : 7 - 12 .

YU Y , CHEN Q , LI X . Distributed collaborative monitoring in software defined networks [J ] . Computer Science , 2014 .

肖甫 , 马俊青 , 黄洵松 , 等 . SDN环境下基于KNN的DDoS攻击检测方法 [J ] . 南京邮电大学学报 , 2015 , 35 ( 1 ): 84 - 88 .

XIAO F , MA J Q , HUANG X S , et al . DDoS attack detection based on KNN in software defined networks [J ] . Journal of Nanjing University of Posts and Telecommunications , 2015 , 35 ( 1 ): 84 - 88 .

PASSITO A , MOTA E , BENNESBY R , et al . AgNOS:a framework for autonomous control of software-defined networks [C ] // IEEE International Conference on Advanced Information Networking and Applications . 2014 : 405 - 412 .

KLOTI R , KOTRONIS V , SMITH P . OpenFlow:a security analysis [C ] // IEEE International Conference on Network Protocols . 2014 : 1 - 6 .

WUNDSAM A , DAN L , SEETHARAMAN S , et al . OFRewind:enabling record and replay troubleshooting for networks [C ] // Usenix Conference on Usenix Technical . 2011 : 29 - 29 .

王秀磊 , 陈鸣 , 邢长友 , 等 . 一种防御 DDoS 攻击的软件定义安全网络体制 [J ] . 软件学报 , 2016 , 27 ( 12 ): 3104 - 3119 .

WANG X L , CHEN M , XING C Y , et al . Software defined security networking mechanism against DDoS attacks [J ] . Journal of Software , 2016 , 27 ( 12 ): 3104 - 3119 .

HAMEED S , KHAN H A . Leveraging SDN for collaborative DDoS mitigation [C ] // The International Conference on Networked Systems . 2017 .

FRANCOIS J , FESTOR O . Anomaly traceback using software defined networking [J ] . International Workshop on Information Forensics ＆ Security , 2014

YAN Q , GONG Q , YU F R . Effective software-defined networking controller scheduling method to mitigate DDoS attacks [J ] . Electronics Letters , 2017 , 53 ( 7 ): 469 - 471 .

BELYAEV M , GAIVORONSKI S . Towards load balancing in SDN-networks during DDoS-attacks [C ] // IEEE Science and Technology Conference . 2015 : 1 - 6 .

JESUS W P D , SILVA D A D , JUNIOR R T D S , et al . Analysis of SDN contributions for cloud computing security [C ] // IEEE/ACM International Conference on Utility and Cloud Computing . 2015 : 922 - 927 .

YAN Q , YU F R . Distributed denial of service attacks in software-defined networking with cloud computing [J ] . IEEE Communications Magazine , 2015 , 53 ( 4 ): 52 - 59 .

Views

8316

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multi-authority based CP-ABE proxy re-encryption scheme for cloud computing

Strategy of container migration and honeypot deployment based on signal game in cloud environment

Trust evaluation optimization mechanism for cloud user behavior based on FANP

Survey on public key encryption with equality test

Blockchain-based key management scheme for distributed networks

Related Author

Yinzhang GUO

Shang LIU

Wenyan LIU

Wei ZENG

Jiangxing WU

Lingshu LI

Liqin TIAN

Yi ZHANG

Related Institution

School of Computer, Qinghai Normal University

School of Computer, North China Institute of Science and Technology

Troops

School of Cryptographic Engineering,Strategic Support Force Information Engineering University

Beijing Key Laboratory of Trusted Computing

⁰