Paper Info
Title
Steganography in Inactive Frames of VoIP Streams Encoded by Source Codec
Abstract
This paper describes a novel high-capacity steganography algorithm for embedding data in the inactive frames of low bit rate audio streams encoded by G.723.1 source codec, which is used extensively in Voice over Internet Protocol (VoIP). This study reveals that, contrary to existing thought, the inactive frames of VoIP streams are more suitable for data embedding than the active frames of the streams; that is, steganography in the inactive audio frames attains a larger data embedding capacity than that in the active audio frames under the same imperceptibility. By analyzing the concealment of steganography in the inactive frames of low bit rate audio streams encoded by G.723.1 codec with 6.3 kb/s, the authors propose a new algorithm for steganography in different speech parameters of the inactive frames. Performance evaluation shows embedding data in various speech parameters led to different levels of concealment. An improved voice activity detection algorithm is suggested for detecting inactive audio frames taking into packet loss account. Experimental results show our proposed steganography algorithm not only achieved perfect imperceptibility but also gained a high data embedding rate up to 101 bits/frame, indicating that the data embedding capacity of the proposed algorithm is very much larger than those of previously suggested algorithms.
Year
DOI
Venue
2011
10.1109/TIFS.2011.2108649
IEEE Transactions on Information Forensics and Security
Keywords
Field
DocType
steganography,novel high-capacity steganography algorithm,data embedding capacity,voice over internet protocol (voip),active audio frame,codecs,audio streams,inactive frames,internet telephony,source codec,embedding data,voice activity detection algorithm,audio stream,low bit rate,g.723.1 source codec,high data,larger data,voip streams,inactive frame,new algorithm,inactive audio frame,packet loss,algorithm design,classification algorithms,voice over internet protocol,algorithm design and analysis,speech coding,probability,speech
Steganography,Embedding,Speech coding,Algorithm design,Pattern recognition,Voice activity detection,Computer science,Packet loss,Speech recognition,Artificial intelligence,Codec,Voice over IP
Journal
Volume
Issue
ISSN
6
2
1556-6013
Citations 
PageRank 
References 
41
1.45
11
Authors
3
Name
Order
Citations
PageRank
Yongfeng Huang171392.06
Shanyu Tang221317.47
Jian Yuan342839.48