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BANZKP: A secure authentication scheme using zero knowledge proof for WBANs

机译:BANZKP:针对WBAN使用零知识证明的安全认证方案

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Advances in wearable and implementable of wireless sensors have enable the development of tiny and intelligent sensors called body sensors. Monitoring the vital body parameters in real-time using wireless body area network (WBAN) has shown great potential in improving healthcare quality not only for patients but also for medical staff. However, security and privacy are still an important issue in WBANs especially in multi-hop architectures. Considering the constraints of the body sensors (namely energy, memory, computational power, etc.). In this paper, we propose and present the design and the evaluation of a secure lightweight and energy efficient authentication scheme BANZKP based on an efficient cryptographic protocol, Zero Knowledge Proof (ZKP) and a commitment scheme. ZKP is used to confirm the identify of the sensor nodes, with small computational requirement, which is favorable for body sensors given their limited resources, while the commitment scheme is used to deal with replay attacks and hence the injection attacks by committing a message and revealing the key later. BANZKP reduces the memory requirement by 56,13% compared to TinyZKP [10], the comparable alternative so far for Body Area Networks. Also, the simulation results demonstrate that our proposed scheme is 17 and 5 times more efficient in term of execution time, and uses 94.11% and 80% less energy compared to TinyZKP and W-ECDSA [16], respectively.
机译:无线传感器的可穿戴和可实现的进步使得能够开发称为人体传感器的小型智能传感器。使用无线人体局域网(WBAN)实时监视重要的身体参数已显示出巨大的潜力,不仅可以提高患者的医疗质量,还可以提高医护人员的医疗质量。但是,安全性和隐私仍然是WBAN中的重要问题,尤其是在多跳体系结构中。考虑身体传感器的约束(即能量,内存,计算能力等)。在本文中,我们提出并提出了基于高效加密协议,零知识证明(ZKP)和承诺方案的安全轻量级节能认证方案BANZKP的设计和评估。 ZKP用于确认传感器节点的标识,计算量较小,这对于人体传感器由于资源有限而非常有利,而承诺方案则用于通过提交消息和泄露来应对重播攻击和因此的注入攻击。关键。与TinyZKP [10]相比,BANZKP减少了56.13%的内存需求,而TinyZKP [10]是迄今为止对于人体局域网的可比替代方案。仿真结果还表明,与TinyZKP和W-ECDSA [16]相比,我们提出的方案在执行时间上的效率提高了17倍和5倍,并且能耗分别降低了94.11%和80%。

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