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作 者:李军伟[1] 周宁[2] LI Junwei a ZHOU Ning b(a. Dean's Offic b. Mechanical and Electrical Engineering College, Xinxiang University, Xinxiang 453003, Chin)
机构地区:[1]新乡学院教务处,河南新乡453003 [2]新乡学院机电工程学院,河南新乡453003
出 处:《新乡学院学报》2017年第6期42-44,52,共4页Journal of Xinxiang University
摘 要:在马尔可夫链加密流识别的基础上,检测从发送端或接收端传来的网络流,通过建立相关模型,完成流量实时识别,实现了一种基于马尔可夫链的加密流识别系统。实验数据表明,该加密流识别系统具有非常高的可靠性。In order to overcome the limitations of various encryption flow identification technology, T. Karagiannis and other scholars developed a new encryption flow identification technology(namely, Markov chain encryption stream recognition technology) based on Markov chain and encryption flow identification to detect the network flow from the sender or receiver. Through establishing a relevant model, the real-time traffic flow identification was completed, which then implemented an encryption flow identification based on Markov chain. The experimental data showed that the encryption flow recognition system had a very high reliability.
分 类 号:TP309.2[自动化与计算机技术—计算机系统结构] TP309.7[自动化与计算机技术—计算机科学与技术]
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