Title :
SIP Steganalysis Using Chaos Theory
Author :
Zhao, Hong ; Zhang, Xueying
Author_Institution :
Sch. of Comput. Sci. & Eng., Fairleigh Dickinson Univ., Teaneck, NJ, USA
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;
Conference_Titel :
Computing, Measurement, Control and Sensor Network (CMCSN), 2012 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4673-2033-7
DOI :
10.1109/CMCSN.2012.25
