SIP Steganalysis Using Chaos Theory

Author

Zhao, Hong ; Zhang, Xueying

Author_Institution

Sch. of Comput. Sci. & Eng., Fairleigh Dickinson Univ., Teaneck, NJ, USA

fYear

2012

fDate

7-9 July 2012

Firstpage

95

Lastpage

100

Abstract

The Session Initiation Protocol (SIP) is an IETF-defined signaling protocol widely used for controlling communication sessions such as voice and video calls over Internet Protocol (IP). With wide applications of SIP, hiding secret data in some SIP header fields becomes a potential threat to many applications using SIP. In this paper, chaos theory is applied to analyze normal SIP traffic and a feature model is proposed to detect hidden data in some SIP header fields. Experimental results show that the proposed method has average 91.9% detection rate and the computational complexity is low which makes this method appropriate for online mode.

Keywords

chaotic communication; communication complexity; signalling protocols; steganography; telecommunication security; telecommunication traffic; IETF-defined signaling protocol; Internet protocol; SIP header; SIP steganalysis; SIP traffic; Session Initiation Protocol; chaos theory; communication session; computational complexity; detection rate; network security; secret data hiding; steganography; video call; voice; Chaos; Feature extraction; Protocols; Security; Servers; Time series analysis; Vectors; Steganography and steganalysis; covert channel detection; network security;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Measurement, Control and Sensor Network (CMCSN), 2012 International Conference on

Conference_Location

Taiyuan

Print_ISBN

978-1-4673-2033-7

Type

conf

DOI

10.1109/CMCSN.2012.25

Filename

6245798