文章基本信息

标题：STATISTICAL TRAFFIC PATTERN DISCOVERY SYSTEM FOR WIRELESS MOBILE NETWORKS
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作者：Karthika C
期刊名称：Computer Sciences and Telecommunications
印刷版ISSN：1512-1232
出版年度：2015
卷号：45
期号：1
页码：63-70
出版社：Internet Academy
摘要：This paper deals with discovering of raw traffic data for the given network area by using sensor nodes based on statistical characteristics. This is used to analyses the communication anonymity of mobile adhoc networks based on packet decryption. It is capable of calculating the probability of source/destination nodes and end to end communication relationship. In existing statistical traffic analysis method, is fails to discover sensitive information from the statistical characteristics of the network. It does not provide a method to identify the actual source and destination nodes. In the proposed method there are two approaches are used namely time slicing technique used to build point to point traffic matrices, and heuristic approach used to identify the actual source and destination nodes. By using these techniques, the hidden traffic patterns can be discovered in good accuracy and traffic delay can be restricted.
关键词：traffic matrix; point-to-point matrix; statistical traffic pattern