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

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

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