一种基于混合机器学习模型的新型DDoS检测和缓解技术，并对SDN网络中的非法流量进行重定向

IF 3.6 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Cluster Computing-The Journal of Networks Software Tools and Applications Pub Date : 2023-10-17 DOI:10.1007/s10586-023-04152-1

Avtar Singh, Harpreet Kaur, Navjot Kaur

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A novel DDoS detection and mitigation technique using hybrid machine learning model and redirect illegitimate traffic in SDN network

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A novel DDoS detection and mitigation technique using hybrid machine learning model and redirect illegitimate traffic in SDN network

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来源期刊

Cluster Computing-The Journal of Networks Software Tools and Applications 工程技术-计算机：理论方法

CiteScore

9.70

自引率

13.60%

发文量

298

审稿时长

3.0 months

期刊介绍： Cluster Computing addresses the latest results in these fields that support High Performance Distributed Computing (HPDC). In HPDC environments, parallel and/or distributed computing techniques are applied to the solution of computationally intensive applications across networks of computers. The journal represents an important source of information for the growing number of researchers, developers and users of HPDC environments. Cluster Computing: the Journal of Networks, Software Tools and Applications provides a forum for presenting the latest research and technology in the fields of parallel processing, distributed computing systems and computer networks.