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Lecture notes in networks and systems

Quantum Cryptography for Secure IoT Networks: Implementing the BB84 Protocol

Prince Tadhani, Jigar Subodhchandra Sarda, Amit R Thakkar, Sneha Padhiar, Tiansheng Yang, Rajkumar Singh Rathore

Published Jan 1, 2025• 2 citations
Publisher
DOI
10.1007/978-981-96-3247-3_25

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The Internet of Things (IoT) has experienced rapid growth, resulting in a proliferation of interconnected devices in domains such as smart homes, cities, and healthcare applications. Ensuring secure communication within IoT networks is crucial for protecting privacy and data. The BB84 protocol, a quantum key distribution (QKD) protocol, shows promise in enhancing IoT communication security. This paper presents a comprehensive security analysis of the BB84 protocol in IoT networks, examining key aspects including entropy, execution time, quantum bit error rate (QBER), and cryptographic key generation efficiency. The analysis aims to evaluate the protocol's resilience against potential attacks and its suitability for securing IoT communications. We delve into the evaluation of entropy levels in the key generation process to ensure strong cryptographic properties. We also examine the correlation between execution time and QBER to determine the protocol's efficiency and ability to counter timing-based attacks. Additionally, we analyze the efficiency of the keys generated by the BB84 protocol, taking into consideration factors such as key size, generation rate, and computational overhead. These evaluations allow us to assess the protocol's suitability for resource-constrained IoT devices
The rapid growth of the IoT has led to more cyberattacks on low-power devices. This study presents the IPQCLD model, which uses advanced security measures for future IoT networks to address these issues. It applies data preprocessing methods like Min-Max normalization and LDA, quantum key distribution using the BB84 protocol, and post-quantum cryptography techniques such as Lamport-Diffie one-time signatures. These features enhance authentication, encryption, and attack detection. The Lamport-Diffie method blocks key reuse and authenticates messages, while the BB84 protocol helps detect eavesdropping for secure key exchange. LDA and Min-Max normalization simplify data management and ensure accurate detection. Simulation results show that IPQCLD significantly outperforms baseline models, achieving a precision of 0.95 and a recall rate of 0.90.