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Adaptive key management for wireless sensor networks

机译:无线传感器网络的自适应密钥管理

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Network security protocols for wireless sensor networks (WSN) require each node to store context information, such as cryptographic keys, for each active security association that it maintains with its peers. While the storage requirements for such context information is generally small enough to be overlooked in regular networks, it becomes an important issue in memory-constrained WSN. Under such constraints, a WSN node may become memory saturated and thereby become unable to accommodate new nodes dynamically. What can be done to keep expanding the network with newly joining nodes under such memory constraints? How many security associations are ‘enough’ and how does the choice of the number of associations affect performance and coverage? To address these issues, we introduce a novel authentication and key management mechanism called Adaptive Key Management (AKM) that is robust and scalable under limited memory constraints and works along with the RPL routing protocol to provide strong security guarantees. We present a simulation study of AKM to demonstrate its scalability and to provide insight on how to allocate a node's memory to store a sufficient number of security associations.
机译:无线传感器网络(WSN)的网络安全协议要求每个节点为其与对等方维护的每个活动安全关联存储上下文信息,例如加密密钥。尽管此类上下文信息的存储要求通常很小,以至于在常规网络中都无法忽略,但在内存受限的WSN中,它已成为一个重要的问题。在这样的约束下,WSN节点可能会变得内存饱和,从而无法动态容纳新节点。在这样的内存限制下,如何通过新加入的节点继续扩展网络?有多少个安全关联是“足够的”?关联数目的选择如何影响性能和覆盖范围?为了解决这些问题,我们引入了一种称为自适应密钥管理(AKM)的新颖的身份验证和密钥管理机制,该机制在有限的内存约束下具有鲁棒性和可伸缩性,并且与RPL路由协议配合使用可提供强大的安全保证。我们对AKM进行了仿真研究,以证明其可扩展性并提供有关如何分配节点的内存以存储足够数量的安全性关联的见解。

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