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Steganography and Steganalysis in Voice over IP: A Review

机译:IP语音中的隐写术和麻皮分析:审查

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摘要

The rapid advance and popularization of VoIP (Voice over IP) has also brought security issues. VoIP-based secure voice communication has two sides: first, for legitimate users, the secret voice can be embedded in the carrier and transmitted safely in the channel to prevent privacy leakage and ensure data security; second, for illegal users, the use of VoIP Voice communication hides and transmits illegal information, leading to security incidents. Therefore, in recent years, steganography and steganography analysis based on VoIP have gradually become research hotspots in the field of information security. Steganography and steganalysis based on VoIP can be divided into two categories, depending on where the secret information is embedded: steganography and steganalysis based on voice payload or protocol. The former mainly regards voice payload as the carrier, and steganography or steganalysis is performed with respect to the payload. It can be subdivided into steganography and steganalysis based on FBC (fixed codebook), LPC (linear prediction coefficient), and ACB (adaptive codebook). The latter uses various protocols as the carrier and performs steganography or steganalysis with respect to some fields of the protocol header and the timing of the voice packet. It can be divided into steganography and steganalysis based on the network layer, the transport layer, and the application layer. Recent research results of steganography and steganalysis based on protocol and voice payload are classified in this paper, and the paper also summarizes their characteristics, advantages, and disadvantages. The development direction of future research is analyzed. Therefore, this research can provide good help and guidance for researchers in related fields.
机译:VoIP(IP语音)的快速提前和普及也带来了安全问题。基于VoIP的安全语音通信有两侧:首先,对于合法的用户来说,秘密声音可以嵌入在载体中并安全传输在通道中,以防止隐私泄漏并确保数据安全性;其次,对于非法用户来说,使用VoIP语音通信隐藏并传输非法信息,导致安全事件。因此,近年来,基于VoIP的隐写术和隐写术分析逐渐成为信息安全领域的研究热点。基于VoIP的隐写术和Sectanalysis可以分为两类,具体取决于秘密信息的嵌入位置:基于语音有效载荷或协议的隐写和麻木分析。前者主要将语音有效载荷视为载体,并且对有效载荷进行了隐写术或隐点。它可以基于FBC(固定码本),LPC(线性预测系数)和ACB(自适应码本)来细分为隐写术和隐星分析。后者使用各种协议作为载波,并且关于协议报头的某些字段和语音包的定时执行隐写术或隐分。它可以基于网络层,传输层和应用层分成隐写术和隐星分析。本文分类了基于协议和语音有效载荷的隐写术和隐草的研究结果,本文还总结了它们的特征,优势和缺点。分析了未来研究的发展方向。因此,该研究可以为相关领域的研究人员提供良好的帮助和指导。

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