使用Contiki操作系统的物联网应用轻量级分组密码的实现和性能分析

Amal Hkiri, Mouna Karmani, Mohsen Machhout
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引用次数: 0

摘要

近年来,技术取得了令人印象深刻的进步,这导致了物联网(IoT)和无线传感器网络(wsn)的快速增长,这些网络使用了许多具有大量执行器和传感器的低功耗设备。这些设备通过互联网收集和交换数据,并产生大量需要保护的数据。尽管传统密码学提供了一种解决设备和通信机密性、完整性和真实性问题的有效方法,但它可能不适合资源非常有限的系统,特别是对于终端节点(如简单连接的传感器)。因此,越来越需要使用轻量级加密技术(LWC),以更少的复杂性、面积和能源开销来提供所需的安全级别。在本文中,四种轻量级加密算法,称为PRESENT, LED, Piccolo和SPARX,在基于contiki的物联网操作系统上实现,专用于物联网平台,并评估了RAM和ROM使用情况,功耗和能耗以及CPU周期数。本研究使用Cooja网络模拟器来确定在利用无线传感器网络技术的物联网应用中使用的最佳轻量级算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation and Performance Analysis of Lightweight Block Ciphers for IoT applications using the Contiki Operating system
Recent years have witnessed impressive advances in technology which led to the rapid growth of the Internet of Things (IoT) and Wireless Sensor Networks (WSNs) using numerous low-powered devices with a huge number of actuators and sensors. These devices gather and exchange data over the internet and generate enormous amounts of data needed to be secured. Although traditional cryptography provides an efficient means of addressing device and communication confidentiality, integrity, and authenticity issues, it may not be appropriate for very resource-constrained systems, particularly for end-nodes such as a simply connected sensor. Thus, there is an ascent need to use lightweight cryptography (LWC) providing the needed level of security with less complexity, area and energy overhead. In this paper, four lightweight cryptographic algorithms called PRESENT, LED, Piccolo, and SPARX were implemented over a Contiki-based IoT operating system, dedicated for IoT platforms, and assessed regarding RAM and ROM usage, power and energy consumption, and CPU cycles number. The Cooja network simulator is used in this study to determine the best lightweight algorithms to use in IoT applications utilizing wireless sensor networks technology.
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