物联网设备的能源感知安全协议

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Malak Barari, Ramzi Saifan
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引用次数: 0

摘要

物联网已经渗透到现代生活的各个方面,从智能家居到工厂甚至花园。未来几年,物联网设备的数量预计将超过电脑、笔记本电脑、手机和平板电脑。然而,这些设备中的许多都很小,使用电池运行,这使得能源效率成为一个重大挑战。这一挑战影响到物联网的各个方面,包括安全。为了解决这个问题,我们在本文中提出了一种自适应安全方法。自适应安全包括根据威胁级别和数据上下文调整安全级别,而不是总是假设最坏的情况。这种方法减少了能源消耗,分三部分实现:1)调整RSA公钥和私钥的长度,其中较长的密钥提供了更多的安全性,但消耗了更多的电力。2) 基于发送节点的历史来调整节点之间的信任级别,其中接收节点决定是否验证接收到的消息的正确性。3) 利用TrustChain,这是一种受区块链概念启发的交易验证方法。我们通过详尽的模拟场景和实验评估了我们提出的模型的性能。我们的方法优于最先进的方法,可变密钥长度方法将能耗降低了50%,信任级别方法将能耗减少了约50%,TrustChain方法将能耗降至0.771 J,而基于区块链的方法验证交易消耗了2.955 J。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy–Aware security protocol for IoT devices

Internet of Things (IoT) has permeated various aspects of modern life, from smart homes to factories and even gardens. In the coming years, number of IoT devices is expected to surpass that of computers, laptops, mobile phones, and tablets. However, many of these devices are small and operate on batteries, making energy efficiency a significant challenge. This challenge affects all aspects of IoT, including security. To address this issue, we present an adaptive security approach in this paper. Adaptive security involves adjusting the security level based on the level of threats and data context, rather than always assuming the worst-case scenario. This approach reduces energy consumption and is implemented in three parts: 1) Adapting the length of RSA public and private keys, where longer keys provide more security but consume more power. 2) Adapting the trust level between nodes based on the history of the transmitting node, where the receiving node decides whether to verify the correctness of the received messages or not. 3) Utilizing TrustChain, which is transactional verification method inspired by the blockchain concept.

We evaluated the performance of our proposed model through exhaustive simulation scenarios and experiments. Our approach outperforms state-of-the-art methods, with the variable key length approach reducing energy consumption by 50%, the trust level approach reducing energy consumption by approximately 50%, and the TrustChain approach reducing energy consumption to 0.771 J, while the blockchain-based method consumed 2.955 J to verify transactions.

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来源期刊
Pervasive and Mobile Computing
Pervasive and Mobile Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
7.70
自引率
2.30%
发文量
80
审稿时长
68 days
期刊介绍: As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral parts of our daily lives. Tremendous developments in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoTs, etc.) to ubiquitous connectivity, via a variety of wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including edge, fog and cloud) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing. Cutting-edge applications and paradigms have evolved, such as cyber-physical systems and smart environments (e.g., smart city, smart energy, smart transportation, smart healthcare, etc.) that also involve human in the loop through social interactions and participatory and/or mobile crowd sensing, for example. The goal of pervasive computing systems is to improve human experience and quality of life, without explicit awareness of the underlying communications and computing technologies. The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems.
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