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Security of Streaming Media Communications with Logistic Map and Self-Adaptive Detection-Based Steganography

Peng, J; Jiang, Y; Tang, S; Meziane, F

Security of Streaming Media Communications with Logistic Map and Self-Adaptive Detection-Based Steganography Thumbnail


Authors

J Peng

Y Jiang

S Tang

F Meziane



Abstract

Voice over IP (VoIP) is finding its way into several applications, but its security concerns still remain. This paper
shows how a new self-adaptive steganographic method can ensure the security of covert VoIP communications over the
Internet. In this study an Active Voice Period Detection algorithm is devised for PCM codec to detect whether a VoIP packet
carries active or inactive voice data, and the data embedding location in a VoIP stream is chosen randomly according to random
sequences generated from a logistic chaotic map. The initial parameters of the chaotic map and the selection of where to
embed the message are negotiated between the communicating parties. Steganography experiments on active and inactive
voice periods were carried out using a VoIP communications system. Performance evaluation and security analysis indicates
that the proposed VoIP steganographic scheme can withstand statistical detection, and achieve secure real-time covert
communications with high speech quality and negligible signal distortion.

Citation

Peng, J., Jiang, Y., Tang, S., & Meziane, F. (2021). Security of Streaming Media Communications with Logistic Map and Self-Adaptive Detection-Based Steganography. IEEE Transactions on Dependable and Secure Computing, 18(4), 1962-1973. https://doi.org/10.1109/TDSC.2019.2946138

Journal Article Type Article
Acceptance Date Oct 1, 2019
Online Publication Date Oct 8, 2019
Publication Date Jul 9, 2021
Deposit Date Oct 10, 2019
Publicly Available Date Nov 1, 2019
Journal IEEE Transactions on Dependable and Secure Computing
Print ISSN 1545-5971
Electronic ISSN 1941-0018
Publisher Institute of Electrical and Electronics Engineers
Volume 18
Issue 4
Pages 1962-1973
DOI https://doi.org/10.1109/TDSC.2019.2946138
Publisher URL http://dx.doi.org/10.1109/TDSC.2019.2946138
Related Public URLs https://ieeexplore.ieee.org/document/8862899
https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8858
Additional Information Access Information : © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Funders : National Natural Science Foundation of China
Grant Number: 61272469

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