Intelligent Threat Hunting in Software-Defined Networking
Intelligent Threat Hunting in Software-Defined Networking
复制标题
软件定义网络中的智能威胁追踪
DOI：
10.1109/icce.2019.8661952
复制
发表时间：
2019
期刊：
影响因子：
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通讯作者：
D. Brownell
中科院分区：
文献类型：
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作者：
Steven Schmitt;Farah I. Kandah;D. Brownell
软件定义网络（Software-Defined Networking，SDN）的出现，沿着了网络领域的一波新技术和发展，希望更有效地处理网络资源，并提供可编程性的基础。SDN通过虚拟化网络硬件将网络环境中的控制平面和数据平面分离，从而允许灵活性和适应性。在这项工作中，我们提出了一种先进的威胁狩猎模型，通过将SDN基础设施与威胁狩猎技术和机器学习模型相结合，旨在智能地处理网络威胁，如拒绝服务，重复和主要的中间攻击。这一进步通过快速缓解网络威胁，使智能城市和自动驾驶汽车等领域的动态网络流量处理更加高效。
The emergence of Software-Defined Networking (SDN) has brought along a wave of new technologies and developments in the field of networking with hopes of dealing with network resources more efficiently and providing a foundation of programmability. SDN allows for both flexibility and adaptability by separating the control and data planes in a network environment by virtualizing network hardware. We, in this work, present an advanced threat hunting model by combining the SDN infrastructure with threat hunting techniques and machine learning models aiming to intelligently handle network threats such as denial of Service, repeat, and main in the middle attacks. This advancement enables the handling of dynamic network traffic in areas such as smart cities and autonomous vehicles more efficiently by rapidly mitigating network threats.
DOI：
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发表时间：
2017-08
期刊：
--
影响因子：
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作者：
Si Si-Si;Huan Zhang;S. Keerthi;D. Mahajan;I. Dhillon;Cho-Jui Hsieh
通讯作者：
Si Si-Si;Huan Zhang;S. Keerthi;D. Mahajan;I. Dhillon;Cho-Jui Hsieh