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Taxonomy of secure data dissemination techniques for IoT environment
IET Software ( IF 1.6 ) Pub Date : 2020-12-03 , DOI: 10.1049/iet-sen.2020.0006
Umesh Bodkhe , Sudeep Tanwar

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.

中文翻译:

物联网环境的安全数据分发技术分类

各种传感器与各种智能工业应用中使用的启用了物联网(IoT)的设备之间的交互会产生大量数据。如此大量的数据需要快速处理,巨大的存储容量,安全的分发和聚合,以使其免受攻击者的攻击。考虑到生成数据的异构性,基于物联网的应用程序的安全数据分发已成为一个突出的问题。现有的安全数据分发方案不足以处理安全数据分发。全球研究界都致力于传感器节点之间的数据传递,而忽略了其安全流传输的困难。因此,需要使用相关参数来验证物联网网络的安全数据分发方案的性能。基于上述事实,在本研究中,我们对最先进的技术进行了全面回顾,该技术可以验证和验证IoT网络的数据分发方案的性能。我们提出了各种验证和确认方法的解决方案分类,以及它们的优缺点。最后,介绍了有关物联网网络中安全数据分发的验证和确认方法的最新问题和未来方向。
更新日期:2020-12-04
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