Tracking any audio content streamed or played anywhere to its origin or piracy

ArulKumaran Chandrasekaran
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Abstract

Background: The unauthorized distribution and consumption of audio content have been on the rise in recent years, posing a significant threat to content creators and streaming partners. In this research, we proposed a revolutionary method that enables the tracking of audio content to its source of piracy by employing cryptographically invisibly fingerprinted technology. Methods: Our approach utilizes advanced cryptographic techniques to embed inaudible fingerprints within audio frames. These fingerprints serve as unique identifiers that can be traced back to the source of piracy. Our specialized software employs sophisticated algorithms to detect and extract these cryptographic fingerprints from the pirated audio content. The software then compares the extracted fingerprints with a database of authorized sources to determine the origin of the piracy event.   Results: Through extensive testing and analysis, we have demonstrated the effectiveness of our proposed method in accurately tracking audio content to its source of piracy. Our software consistently detects and reports the source, location, and time of the piracy incidents within a matter of minutes. Conclusions: The research presented in this paper introduces a novel method for tracking audio content streamed or played over the internet to its source of piracy. By employing cryptographically invisibly fingerprinted technology, we can accurately detect and report piracy incidents within minutes, providing content creators and streaming partners with actionable information to combat piracy effectively.
追踪任何流媒体或在任何地方播放的音频内容的来源或盗版
背景:近年来,未经授权的音频内容分发和消费呈上升趋势,对内容创作者和流媒体合作伙伴构成了重大威胁。在这项研究中,我们提出了一种革命性的方法,通过使用加密隐形指纹技术,可以跟踪音频内容到其盗版来源。方法:我们的方法利用先进的加密技术在音频帧内嵌入听不见的指纹。这些指纹作为唯一的标识符,可以追溯到盗版的来源。我们的专业软件采用复杂的算法,从盗版音频内容中检测和提取这些加密指纹。然后,该软件将提取的指纹与授权来源的数据库进行比较,以确定盗版事件的起源。结果:通过广泛的测试和分析,我们已经证明了我们提出的方法在准确跟踪音频内容到其盗版来源方面的有效性。我们的软件始终如一地检测和报告的来源,位置和时间的盗版事件在几分钟内。结论:本文提出的研究介绍了一种新的方法,用于跟踪在互联网上流媒体或播放的音频内容到其盗版来源。通过采用加密隐形指纹技术,我们可以在几分钟内准确发现并报告盗版事件,为内容创作者和流媒体合作伙伴提供可操作的信息,有效打击盗版。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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