Enhanced Zero-Knowledge and Identity-Based Authentication with integrated Key Exchange for Internet of Things

I. Simsek
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引用次数: 0

Abstract

Sensitive data have to be communicated via secure channels generally set up by using cryptography. This needs an authentic key exchange, which in turn requires an authentication process. However, the Internet of Things (IoT) includes its own challenges and security requirements. This paper introduces a novel signature algorithm and handshake protocol combining a zero-knowledge proof method being based on the graph isomorphism problem with an identity-based scheme to provide authentication with integrated key exchange while meeting the IoT challenges and security requirements. Our approach applies a way to parallelly perform multiple rounds usually needed by zero-knowledge proofs while retaining the same security level. Moreover, we present a graph compression algorithm providing a compression ratio of up to ca. 7:1. Our handshake protocol is resistant to active man in the middle attacks and does not require any public data pre-distribution or secret pre-sharing. Additionally, no third party has to hold any device-specific authentication data. Furthermore, our approach is application-independent and does not require any additional components or procedures. This paper also evaluates the high performance of our approach with regard to multiple affecting factors.
基于集成密钥交换的物联网增强零知识和身份认证
敏感数据必须通过通常使用加密技术建立的安全通道进行通信。这需要一个可信的密钥交换,而这又需要一个身份验证过程。然而,物联网(IoT)有其自身的挑战和安全需求。本文提出了一种新的签名算法和握手协议,将基于图同构问题的零知识证明方法与基于身份的方案相结合,在满足物联网挑战和安全要求的同时,提供集成密钥交换的认证。我们的方法应用了一种方法,在保持相同安全级别的情况下并行执行零知识证明通常需要的多轮。此外,我们提出了一种图形压缩算法,提供高达约7:1的压缩比。我们的握手协议可以抵抗主动中间人攻击,并且不需要任何公开数据预分发或秘密预共享。此外,没有第三方必须持有任何特定于设备的身份验证数据。此外,我们的方法是独立于应用程序的,不需要任何额外的组件或过程。本文还评估了我们的方法在多个影响因素方面的高性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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