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Fog‐SDN: A light mitigation scheme for DDoS attack in fog computing framework
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-03-17 , DOI: 10.1002/dac.4389
Rojalina Priyadarshini 1 , Rabindra Kumar Barik 2 , Harishchandra Dubey 3
Affiliation  

Cloud computing is one of the most tempting technologies in today's computing scenario as it provides a cost‐efficient solutions by reducing the large upfront cost for buying hardware infrastructures and computing power. Fog computing is an added support to cloud environment by leveraging with doing some of the less compute intensive task to be done at the edge devices, which reduces the response time for end user computing. But the vulnerabilities to these systems are still a big concern. Among several security needs, availability is one that makes the demanded services available to the targeted customers all the time. Availability is often challenged by external attacks like Denial of service (DoS) and distributed denial of service (DDoS). This paper demonstrates a novel source‐based DDoS mitigating schemes that could be employed in both fog and cloud computing scenarios to eliminate these attacks. It deploys the DDoS defender module which works on a machine learning–based light detection method, present at the SDN controller. This scheme uses the network traffic data to analyze, predict, and filter incoming data, so that it can send the filtered legitimate packets to the server and blocking the rest.

中文翻译:

Fog‐SDN:雾计算框架中的DDoS攻击的轻量级缓解方案

云计算是当今计算场景中最诱人的技术之一,因为它通过减少购买硬件基础架构和计算能力的前期成本来提供经济高效的解决方案。雾计算是通过利用边缘设备执行一些计算量较小的任务来增加对云环境的支持,从而减少了最终用户计算的响应时间。但是这些系统的漏洞仍然是一个大问题。在几种安全需求中,可用性是一种使需求的服务始终可用于目标客户的需求。可用性经常受到外部攻击(例如拒绝服务(DoS)和分布式拒绝服务(DDoS))的挑战。本文演示了一种新颖的基于源的DDoS缓解方案,该方案可在雾和云计算场景中采用,以消除这些攻击。它部署了DDoS防御器模块,该模块可用于SDN控制器上基于机器学习的光检测方法。该方案使用网络流量数据来分析,预测和过滤传入的数据,以便它可以将过滤后的合法数据包发送到服务器,并阻止其余数据包。
更新日期:2020-03-17
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