基于椭圆曲线梅内塞斯-库-万斯顿的物联网身份验证和加密协议

Susovan Chanda, Ashish Kr. Luhach, J. Sharmila Anand Francis, Indranil Sengupta, Diptendu Sinha Roy
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引用次数: 0

摘要

物联网(IoT)的指数级增长导致数据生成量激增,这对业务决策至关重要。在不安全的渠道上确保数据的真实性和完整性至关重要,特别是由于篡改数据可能带来灾难性后果。然而,物联网的资源限制和异构生态系统带来了独特的安全挑战。传统的公钥基础设施提供了强大的安全性,但需要耗费大量资源,而现有的基于云的解决方案则缺乏全面的安全性,并会导致延迟和不必要的能源浪费。在本文中,我们提出了一种使用边缘计算的通用身份验证方案,将完全散列的椭圆曲线梅内塞斯-奎-范斯通(ECMQV)和 PUF 结合在一起。这种方法提供了一种可扩展的可靠解决方案。它还提供了针对主动攻击的安全性,解决了中间人和冒名顶替的威胁。在 Zybo 电路板上进行的实验验证证实了它的有效性,为物联网领域提供了强大的安全解决方案。
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An Elliptic Curve Menezes–Qu–Vanston-Based Authentication and Encryption Protocol for IoT
The exponential growth of the Internet of Things (IoT) has led to a surge in data generation, critical for business decisions. Ensuring data authenticity and integrity over unsecured channels is vital, especially due to potential catastrophic consequences of tampered data. However, IoT’s resource constraints and heterogeneous ecosystem present unique security challenges. Traditional public key infrastructure offers strong security but is resource intensive, while existing cloud-based solutions lack comprehensive security and rise to latency and unwanted wastage of energy. In this paper, we propose a universal authentication scheme using edge computing, incorporating fully hashed Elliptic Curve Menezes–Qu–Vanstone (ECMQV) and PUF. This approach provides a scalable and reliable solution. It also provides security against active attacks, addressing man-in-the-middle and impersonation threats. Experimental validation on a Zybo board confirms its effectiveness, offering a robust security solution for the IoT landscape.
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