数据隐藏:安全和隐私的新机遇?

D. Megías
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引用次数: 5

摘要

数据隐藏提供了一系列技术,可以在更广泛的网络安全或隐私框架内使用,例如,在多媒体内容的流媒体或广播中保护用户的隐私,或者在与机器学习解决方案相结合时检测物联网网络中的网络攻击。然而,犯罪分子和恐怖分子也知道这些技术,并可以利用它们来达到恶意目的。这篇文章概述了传统的数据隐藏应用和该领域的当前趋势,指出了数据隐藏在信息安全和隐私背景下的潜在用途,同时也介绍了数据隐藏在恶意应用时对用户和整个社会的潜在威胁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data hiding: New opportunities for security and privacy?
Data hiding provides a collection of techniques that can be used within a wider cybersecurity or privacy framework, making it possible, for example, to protect the users' privacy in streaming or broadcasting of multimedia contents or to detect cyberattacks in IoT networks when combined with machine learning solutions. However, criminals and terrorists are also aware and these techniques and can exploit them for malicious purposes. This contribution provides an overview of the traditional data hiding applications and the current trends in this field, pointing out prospective uses of data hiding in the context of information security and privacy, but also introducing potential threats for users and the society as a whole when they are applied for evil.
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