A New Efficient Scheme for Securely Growing WBAN Nodes
A New Efficient Scheme for Securely Growing WBAN Nodes
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DOI：
10.1109/icii.2018.00026
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发表时间：
2018-10
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影响因子：
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通讯作者：
Zhouzhou Li;Hua Fang;Honggang Wang;Shaoen Wu;M. Daneshmand
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文献类型：
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作者：
Zhouzhou Li;Hua Fang;Honggang Wang;Shaoen Wu;M. Daneshmand
安全增长或去增长节点是管理无线体域网（WBAN）的强制性要求。此要求在节点认证、后向节点认证、初始节点配置和节点降级方面提出了重大挑战。不同于传统的方法使用预存的秘密或依赖于特殊的认证硬件，我们探索的特点WBAN和无线信号开发一个有效的方案，安全和有效地添加/删除WBAN节点。该方案的主要思想是充分利用现有的合法节点和人体行为，构建一个“虚拟”的双天线邻近检测系统。我们在无线设备上搭建了一个系统原型，并通过实验验证了我们的方案。此外，数据挖掘（聚类）算法也被应用到成功地检测新加入的合法节点，并确定潜在的攻击者。
Securely growing or de-growing nodes is a mandatory requirement to manage Wireless Body Area Networks (WBANs). This requirement raises significant challenges in node authentication, backward node authentication, initial node configuration, and node de-growth. Unlike the traditional approaches using pre-stored secrets or relying on special authentication hardware, we explore the characteristics of WBAN and wireless signal to develop an efficient scheme for adding/removing WBAN node securely and effectively. The major idea of the proposed scheme is to construct a 'virtual' dual-antennae proximity detection system by fully utilizing the existing legitimate nodes and the behavior of human body. We built a system prototype on wireless devices and verified our scheme through experiments. In addition, a data mining (clustering) algorithm is also applied to successfully detect newly joined legitimate node and identify potential attackers.