Building a Platform for Software-Defined Networking Cybersecurity Applications

被引：0
|
作者：
Song, Chongya [1 ]
Perez-Pons, Alexander [1 ]
Yen, Kang K. [1 ]
机构：
[1] Florida Int Univ, Elect & Comp Engn, Miami, FL 33199 USA
来源：
2016 15TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2016) | 2016年
关键词：
Software-Defined Networking (SDN); SDN-controller; platform; cybersecurity applications; Network Intrusion Detection System (NIDS); machine learning algorithm (MLA); Hidden Markov Model (HMM); Waikato Environment for Knowledge Analysis (WEKA); Mininet;
D O I：
10.1109/ICMLA.2016.61
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The emerging technology of Software-Defined Networking (SDN) affords a platform and architecture which is dynamic, manageable, cost-effective, and adaptable, making it ideal for many applications that are high-bandwidth and dynamic in nature. As this technology grows and matures, there is a need for cybersecurity applications to be designed, developed and evaluated. In this paper, we propose a development environment configuration to build security applications targeting the SDN-controller in an effort to explore the technology and the resources available to teach and research the platform from a security application development perspective.
引用
收藏
页码：482 / 487
页数：6
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