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Capturing Uncertainty Information and Categorical Characteristics for Network Payload Grouping in Protocol Reverse Engineering
المؤلفون المشاركون
Luo, Jian-Zhen
Yu, Shun-Zheng
Cai, Jun
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-06-02
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
As a promising tool to recover the specifications of unknown protocols, protocol reverse engineering has drawn more and more attention in research over the last decade.
It is a critical task of protocol reverse engineering to extract the protocol keywords from network trace.
Since the messages of different types have different sets of protocol keywords, it is an effective method to improve the accuracy of protocol keyword extraction by clustering the network payload of unknown traffic into clusters and analyzing each clusters to extract the protocol keywords.
Although the classic algorithms such as K-means and EM can be used for network payload clustering, the quality of resultant traffic clusters was far from satisfactory when these algorithms are applied to cluster application layer traffic with categorical attributes.
In this paper, we propose a novel method to improve the accuracy of protocol reverse engineering by applying a rough set-based technique for clustering the application layer traffic.
This technique analyze multidimension uncertain information in multiple categorical attributes based on rough sets theory to cluster network payload, and apply the Minimum Description Length criteria to determine the optimal number of clusters.
The experiments show that our method outperforms the existing algorithms and improves the results of protocol keyword extraction.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Luo, Jian-Zhen& Yu, Shun-Zheng& Cai, Jun. 2015. Capturing Uncertainty Information and Categorical Characteristics for Network Payload Grouping in Protocol Reverse Engineering. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1075201
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Luo, Jian-Zhen…[et al.]. Capturing Uncertainty Information and Categorical Characteristics for Network Payload Grouping in Protocol Reverse Engineering. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1075201
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Luo, Jian-Zhen& Yu, Shun-Zheng& Cai, Jun. Capturing Uncertainty Information and Categorical Characteristics for Network Payload Grouping in Protocol Reverse Engineering. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1075201
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1075201
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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