通过负载签名质量评估,找到高效的应用签名

Sung-Ho Lee, Young-Hoon Goo, Baraka D. Sija, Myung-Sup Kim
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引用次数: 0

摘要

互联网流量识别是实现稳定的业务提供和高效的网络管理必不可少的前期工作。基于负载特征的分类被认为是一种可靠的互联网流量识别方法。但其性能高度依赖于签名的数量和结构。如果签名的数量和结构复杂度不合理,则容易导致基于负载签名的分类性能下降。因此,为了提高识别系统的性能,有必要对签名的数量进行规范。在本文中,我们提出了一种新的签名质量评估方法来决定哪些签名是高效的互联网流量识别。我们重新定义了签名质量的评价标准,并通过该方法找到了高效的签名。在三个不同的角度进行质量评估,并通过这些角度值计算每个签名的权重。通过构造签名映射(S-MAP)来寻找高效的签名。该方法的应用流量识别效率提高了约4倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finding the highly efficient application signature through payload signature quality evaluation
Internet traffic identification is an essential preliminary step for stable service provision and efficient network management. The payload signature-based-classification is considered as a reliable method for Internet traffic identification. But its performance is highly dependent on the number and the structure of signatures. If the numbers and structural complexity of signatures are not proper, the performance of payload signature-based-classification easily deteriorates. Therefore, in order to improve the performance of the identification system, it is necessary to regulate the numbers of the signature. In this paper, we propose a novel signature quality evaluation method to decide which signature is highly efficient for Internet traffic identification. We newly define the signature quality evaluation criteria and find the highly efficient signature through the method. Quality evaluation is performed in three different perspectives and the weight of each signature is computed through those perspectives values. And we construct the signature map(S-MAP) to find the highly efficient signature. The proposed method achieved an approximately fourfold increased efficiency in application traffic identification.
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