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Taxonomy of secure data dissemination techniques for IoT environment

机译:IOT环境安全数据传播技术的分类

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摘要

A huge amount of data is generated from the interaction of various sensors and Internet of Things (IoT) enabled devices used in various smart industrial applications. This enormous amount of data requires fast processing, huge storage capacity, secure dissemination, and aggregation to make it resistant from the attackers. Secure data dissemination for IoT-based applications has been a prominent issue in consideration with the heterogeneity in generated data. Existing secure data dissemination schemes are inadequate to handle secure data distribution. Research communities across the globe are focused on the delivery of the data among the sensor nodes and overlook the difficulty of its secure streaming. Hence, there is a need to validate the performance of secure data distribution schemes for IoT networks using relevant parameters. Motivated from the aforementioned facts, in this study, we perform a comprehensive review on the state-of-the-art techniques, which can verify and validate the performance of data dissemination schemes for IoT networks. We present a solution taxonomy of various verification and validation methods along with their merits and demerits. Finally, recent issues and future directions on verification and validation methods for the secure data distribution in an IoT network is presented.
机译:从各种智能工业应用中使用的各种传感器和物联网的交互产生了大量数据(IOT)的设备的相互作用。这种巨大的数据需要快速处理,巨大的存储容量,安全传播和聚集,以使其抵抗攻击者。考虑到生成数据中的异质性,基于IOT的应用程序的安全数据传播是一个突出的问题。现有的安全数据传播方案不足以处理安全数据分发。全球的研究社区专注于传送带节点之间的数据,并忽略其安全流的难度。因此,需要使用相关参数验证IoT网络的安全数据分配方案的性能。在本研究中,从上述事实中激励,我们对最先进的技术进行了全面的审查,可以验证和验证IOT网络数据传播方案的性能。我们提出了各种验证和验证方法的解决方案分类以及其优点和缺点。最后,介绍了最近的问题和未来的关于IOT网络中安全数据分布的验证和验证方法的指示。

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