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Seluge plus plus : a secure over-the-air programming scheme in wireless sensor networks

机译:Seluge plus plus:无线传感器网络中的安全无线编程方案

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摘要

Over-the-air dissemination of code updates in wireless sensor networks have been researchers' point of interest in the last few years, and, more importantly, security challenges toward the remote propagation of code updating have occupied the majority of efforts in this context. Many security models have been proposed to establish a balance between the energy consumption and security strength, having their concentration on the constrained nature of wireless sensor network (WSN) nodes. For authentication purposes, most of them have used a Merkle hash tree to avoid using multiple public cryptography operations. These models mostly have assumed an environment in which security has to be at a standard level. Therefore, they have not investigated the tree structure for mission-critical situations in which security has to be at the maximum possible level (e.g., military applications, healthcare). Considering this, we investigate existing security models used in over-the-air dissemination of code updates for possible vulnerabilities, and then, we provide a set of countermeasures, correspondingly named Security Model Requirements. Based on the investigation, we concentrate on Seluge, one of the existing over-the-air programming schemes, and we propose an improved version of it, named Seluge++, which complies with the Security Model Requirements and replaces the use of the inefficient Merkle tree with a novel method. Analytical and simulation results show the improvements in Seluge++ compared to Seluge.
机译:在过去的几年中,无线更新无线传感器网络中的代码更新一直是研究人员的关注点,更重要的是,在这种情况下,对代码更新的远程传播的安全性挑战占据了大部分精力。已经提出了许多安全模型来建立能量消耗和安全强度之间的平衡,它们集中在无线传感器网络(WSN)节点的受约束性质上。出于身份验证的目的,大多数人都使用Merkle哈希树来避免使用多个公共密码术操作。这些模型大多数都假定必须在安全级别达到标准级别的环境中进行。因此,他们没有研究关键任务情况下的树形结构,在这种情况下,安全性必须处于最大可能的级别(例如,军事应用,医疗保健)。考虑到这一点,我们调查了通过无线方式传播代码更​​新时可能存在的漏洞的现有安全模型,然后提供了一组对策,分别称为安全模型要求。在调查的基础上,我们将重点放在现有的空中编程方案之一Seluge上,并提出其改进版本Seluge ++,它符合安全模型要求并取代了效率低下的Merkle树的使用用一种新颖的方法。分析和仿真结果表明,与Seluge相比,Seluge ++有所改进。

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