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首页> 外文期刊>International journal of software innovation >Improving the Bluetooth Hopping Sequence for Better Security in IoT Devices
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Improving the Bluetooth Hopping Sequence for Better Security in IoT Devices

机译：改善蓝牙跳跃顺序，以提高物联网设备的安全性

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摘要

The Internet of Things (IoT) is becoming more pervasive in our daily lives and is being used to add conveniences to our everyday items. There are several standards that are allowing these devices to communicate with each other and ultimately, with our mobile devices. However, in a rush to meet market demand, security was not considered until after the device had already been placed on the market. Most of the work done in improving security has been in the area of encryption. However, with the relatively small footprint of IoT devices, this makes strong encryption difficult. The authors' method will show that the current algorithm used to determine the next Bluetooth frequency hop is vulnerable to attack, and will suggest a novel algorithm to more securely select the next frequency to use. They will simulate their solution algorithmically to showcase their approach and in so doing demonstrate that it moves to the next frequency in a more random pattern than the existing model achieves. In this article, the authors present a new framework for improving security that focuses on the timing of frequency hopping, particularly in Bluetooth. The results show that focusing on different timing sequences for how long a device stays on a particular frequency both fits the current Bluetooth Lite architecture and provides adequate security for IoT devices, as it is demonstrably more random that the existing architecture.
机译：物联网（IoT）在我们的日常生活中正变得越来越普遍，并被用来为我们的日常物品增加便利。有几种标准允许这些设备相互之间以及最终与我们的移动设备进行通信。但是，为了满足市场需求，直到将设备投放市场后才考虑安全性。在提高安全性方面所做的大部分工作都在加密领域。但是，由于IoT设备占用的空间较小，因此很难进行强加密。作者的方法将表明，用于确定下一个蓝牙跳频的当前算法很容易受到攻击，并将提出一种新颖的算法来更安全地选择要使用的下一个频率。他们将通过算法模拟其解决方案以展示其方法，并以此方式证明其以比现有模型所能达到的更随机的模式移动到下一个频率。在本文中，作者提出了一种用于提高安全性的新框架，该框架着重于跳频的时序，尤其是在蓝牙中。结果表明，针对设备在特定频率上停留多长时间的不同时序序列，既符合当前的蓝牙Lite架构，又为物联网设备提供了足够的安全性，因为与现有架构相比，随机性明显更高。

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