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With the rapid developments of information technology,various industries become much more dependent on networks.Driven by economic interests and the game between countries reflected by growing cyberspace confrontations,evasive network attacks on information infrastructures with high-tech,high concealment and longterm sustainability become severe threats to national security.In this paper,we propose a novel two-phased method for the detection of evasive network attacks which exploit or pretend to be common legal encryption services in order to escape security inspection.Malicious communications which camouflage themselves as legal encryption application are identified in the SSL'session structure verification phase firstly,and then by serverside X.509 certificate based anomaly detection,suspicious attack behaviors are further distinguished effectively.Experiment results show that our method is very useful for detecting the network activities of certain unknown threats or new malwares.Besides,the proposed method can be applied to other similar services easily. 相似文献
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近年来,随着互联网的迅猛发展,越来越多的新型网络应用逐渐兴起,网络规模不断扩大,网络组成也越来越复杂。网络流量分类技术作为增强网络可控性的基础技术之一,不仅可以帮助网络运营商提供更好的服务质量,而且能够对网络进行有效的监督管理,确保网络安全。本文综述了网络流量分类领域的研究方法及研究成果,对这些传统方法进行比较,分别指出它们的优势和不足。并针对高速网络环境下的实时分类、加密流分类、精细化分类、协议动态变化时的分类等现实挑战,对相关研究进展进行阐述和分析。最后对未来的研究方向进行展望。 相似文献
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