CAJ | 학술논문

随着高校数字化校园的推进，通过网络传输的视频、音频、图像和其他网络应用业务不断增多，从而使网络流量行为日趋复杂，对服务质量和网络安全提出更高的要求。 OpenFlow 是近年来支持网络创新研究而提出的基于流分类的新型网络技术，能解决当前网络设备工作负载过重的问题。通过分析 OpenFlow 的体系架构，针对校园网的异常流量进行识别、分类和转发的策略，并通过模拟实验平台 Mininet 验证该策略的有效性，从而有效地改善了网络性能并提高了网络的安全性。
수착고교수자화교완적추진，통과망락전수적시빈、음빈、도상화기타망락응용업무불단증다，종이사망락류량행위일추복잡，대복무질량화망락안전제출경고적요구。 OpenFlow 시근년래지지망락창신연구이제출적기우류분류적신형망락기술，능해결당전망락설비공작부재과중적문제。통과분석 OpenFlow 적체계가구，침대교완망적이상류량진행식별、분류화전발적책략，병통과모의실험평태 Mininet 험증해책략적유효성，종이유효지개선료망락성능병제고료망락적안전성。
With the continuous improve of information technology in digital campus , the network transmission of video , audio , images and other network applications business is growing so fast that the network traffic behavior increases the complexity of net-work services . The quality of service and network security related performance need higher requirements . OpenFlow network is pro-posed as a new network traffic classification technology to support innovative research in recent years , being able to separate routing control and data transmission , and resolving the current network due to complications resulting work overload network equipment problems . This paper analyzes the OpenFlow architecture for the campus network and designed a strategy to handle with anomaly traffic forwarding data packets . Through verifying the validity of the policy and stability in the simulation platform mininet , the strat-egy could effectively improve the network performance and network security .