Detecting DDoS attacks in cloud computing using ANN and black hole optimization

被引：0
|
作者：
Kushwah, Gopal Singh [1 ]
Ali, Syed Taqi [1 ]
机构：
[1] NIT Kurukshetra, Dept Comp Engn, Kurukshetra, Haryana, India
来源：
2017 2ND INTERNATIONAL CONFERENCE ON TELECOMMUNICATION AND NETWORKS (TEL-NET) | 2017年
关键词：
Cloud computing; DDoS attack; Artificial neural network; Black hole optimization; ENVIRONMENT;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Cloud computing is now a widely accepted technology, as it provides on-demand services on pay-as-you-use basis. These services are provided over Internet, worldwide. Availability is a major concern in this technology. Distributed denial of service (DDoS) attack is used to thwart the availability of cloud services. In this paper, we propose a model to detect DDoS attacks in cloud computing based on artificial neural networks and black hole optimization algorithm.
引用
收藏
页码：355 / 359
页数：5
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