Distributed denial of service (DDoS) resilience in cloud: Review and conceptual cloud DDoS mitigation framework

被引：188
|
作者：
Osanaiye, Opeyemi [1 ,2 ]
Choo, Kim-Kwang Raymond [2 ,3 ]
Dlodlo, Mqhele [1 ]
机构：
[1] Univ Cape Town, Dept Elect Engn, ZA-7700 Rondebosch, South Africa
[2] Univ S Australia, Informat Assurance Res Grp, Adelaide, SA 5001, Australia
[3] INTERPOL Global Complex Innovat, Singapore, Singapore
来源：
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS | 2016年 / 67卷
关键词：
Anomaly-based; Change point detection; Cloud distributed denial of service (DDoS) attacks; Cloud distributed denial of service (DDoS) survey; Distributed denial of service (DDoS) attack taxonomy; Flooding attacks; ATTACK DETECTION; DEFENSE; PROTECTION; DOS;
D O I：
10.1016/j.jnca.2016.01.001
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Despite the increasing popularity of cloud services, ensuring the security and availability of data, resources and services remains an ongoing research challenge. Distributed denial of service (DDoS) attacks are not a new threat, but remain a major security challenge and are a topic of ongoing research interest. Mitigating DDoS attack in cloud presents a new dimension to solutions proffered in traditional computing due to its architecture and features. This paper reviews 96 publications on DDoS attack and defense approaches in cloud computing published between January 2009 and December 2015, and discusses existing research trends. A taxonomy and a conceptual cloud DDoS mitigation framework based on change point detection are presented. Future research directions are also outlined. (C) 2016 Elsevier Ltd. All rights reserved.
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页码：147 / 165
页数：19
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