期刊名称：Journal of King Saud University @?C Computer and Information Sciences
印刷版ISSN：1319-1578
出版年度：2015
卷号：27
期号：3
页码：305-314
DOI：10.1016/j.jksuci.2014.06.016
出版社：Elsevier
摘要：VoIP usage is rapidly growing due to its cost effectiveness, dramatic functionality over the traditional telephone network and its compatibility with public switched telephone network (PSTN). In some countries, like Pakistan, the commercial usage of VoIP is prohibited. Internet service providers (ISPs) and telecommunication authorities are interested in detecting VoIP calls to either block or prioritize them. So detection of VoIP calls is important for both types of authorities. Signature-based, port-based, and pattern-based VoIP detection techniques are inefficient due to complex and confidential security and tunneling mechanisms used by VoIP. In this paper, we propose a generic, robust, efficient, and practically implementable statistical analysis-based solution to identify encrypted, non-encrypted, or tunneled VoIP media (voice) flows using threshold values of flow statistical parameters. We have made a comparison with existing techniques and evaluated our system with respect to accuracy and efficiency. Our system has 97.54% direct rate and .00015% false positive rate.
关键词：Voice over IP (VoIP)
; Deep packet inspection
; Internet service provider (ISP)
; Telecommunication authority
; Tunnel
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