Department of Post Graduate Studies and Research in Mathematics, Jaywanti Haksar Govt. Post-Graduation College, College of Chhindwara University, Betul 460001, India.
Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Lagos, Akoka, Lagos 100213, Nigeria.
Sensors (Basel). 2021 Oct 30;21(21):7227. doi: 10.3390/s21217227.
The place of public key cryptography (PKC) in guaranteeing the security of wireless networks under human-centered IoT environments cannot be overemphasized. PKC uses the idea of paired keys that are mathematically dependent but independent in practice. In PKC, each communicating party needs the public key and the authorized digital certificate of the other party to achieve encryption and decryption. In this circumstance, a directory is required to store the public keys of the participating parties. However, the design of such a directory can be cost-prohibitive and time-consuming. Recently, identity-based encryption (IBE) schemes have been introduced to address the vast limitations of PKC schemes. In a typical IBE system, a third-party server can distribute the public credentials to all parties involved in the system. Thus, the private key can be harvested from the arbitrary public key. As a result, the sender could use the public key of the receiver to encrypt the message, and the receiver could use the extracted private key to decrypt the message. In order to improve systems security, new IBE schemes are solely desired. However, the complexity and cost of designing an entirely new IBE technique remain. In order to address this problem, this paper presents a provably secure IBE transformation model for PKC using conformable Chebyshev chaotic maps under the human-centered IoT environment. In particular, we offer a robust and secure IBE transformation model and provide extensive performance analysis and security proofs of the model. Finally, we demonstrate the superiority of the proposed IBE transformation model over the existing IBE schemes. Overall, results indicate that the proposed scheme posed excellent security capabilities compared to the preliminary IBE-based schemes.
公钥密码学 (PKC) 在保障以人为中心的物联网环境下无线网络的安全性方面的地位怎么强调都不为过。PKC 利用了配对密钥的思想，这些密钥在数学上是相关的，但在实践中是独立的。在 PKC 中，每个通信方都需要对方的公钥和授权数字证书才能实现加密和解密。在这种情况下，需要一个目录来存储参与方的公钥。然而，这样的目录设计可能成本高昂且耗时。最近，引入了基于身份的加密 (IBE) 方案来解决 PKC 方案的巨大局限性。在典型的 IBE 系统中，第三方服务器可以向系统中的所有参与方分发公共凭证。因此，可以从任意公钥中提取私钥。结果，发送方可以使用接收方的公钥对消息进行加密，而接收方可以使用提取的私钥对消息进行解密。为了提高系统安全性，人们仅希望采用新的 IBE 方案。然而，设计全新的 IBE 技术的复杂性和成本仍然存在。为了解决这个问题，本文提出了一种在以人为中心的物联网环境下使用一致的 Chebyshev 混沌映射的基于 PKC 的可证明安全的 IBE 转换模型。具体来说，我们提供了一种强大而安全的 IBE 转换模型，并对模型进行了广泛的性能分析和安全证明。最后，我们展示了所提出的 IBE 转换模型相对于现有 IBE 方案的优越性。总的来说，结果表明，与初步的基于 IBE 的方案相比，所提出的方案具有出色的安全性能。
