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Studies in computational intelligence

Innovating with Quantum Computing Approaches in Block-Chain for Enhanced Security and Data Privacy in Agricultural IoT Systems

Salman Qadri, Javaid Ahmad Malik, Habib Shah, Muhammad Asif Raza, Tawfeeq Alsanoosy, Muhammad Talha Saleem

Published Jan 1, 2024• 18 citations
Publisher
DOI
10.1007/978-3-031-67450-1_13

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In this chapter, we explore access models for quantum computing in agriculture, with an emphasis on cloud-based, on-premises, and hybrid quantum-classical implementations. It defines basic tenets of quantum and how they would be utilized in agriculture areas including crop optimization, supply chain logistics, and climate forecasting. The conversation encompasses contemporary issues such as hardware restrictions, financial obstacles, poor connectivity in remote regions, and fears about data security. Enabling technologies, such as quantum software stack and integration with IoT, are also investigated. Policy and regulatory considerations are also evaluated to promote fair adoption. Lastly, prospects are the sustainable quantum infrastructure and its synergy with the AI and quantum computing for innovation and efficiency in agriculture.
ABSTRACT The Internet of Things (IoT) has significantly transformed industries, including agriculture, by optimizing resources and enhancing monitoring. Smart agriculture IoT protocols utilize sensors for data transmission over the IoT network. Due to its open communication medium, it faces significant security challenges, including data authentication, etc. Current literature has various security methods to safeguard IoT‐enabled smart agriculture. However, it has been seen that such traditional systems are weak against the futuristic quantum computers. To safeguard smart agriculture IoT, we propose a quantum‐resistance identity‐based data authentication protocol and call it as SmartAgri‐IDQ. The security of the proposed authentication mechanism is based on the lattice hard assumptions such as small integer solution (SIS) or inhomogeneous SIS (ISIS) problems. The identity‐based cryptography (IBC) is used to avoid the overhead of certificate management and public‐key infrastructure (PKI). To validate the security of the proposed scheme, formal analysis has been done using the Random Oracle Model (ROM) and the Scyther tool, along with informal security analysis. To evaluate the efficiency, a performance and comparative analysis has been estimated based on storage, computation, and communication costs, which affirms the protocol's suitability in resource constraints smart agriculture IoT.
The internet of things (IoT) has been used in a wide range of applications since its emergence, including smart cities, intelligent systems, smart homes, smart agriculture, and healthcare. IoT systems rely on information processing and sharing, where data leakages may jeopardize their security and privacy. On the other hand, quantum computers are poised to solve complex problems that traditional computers cannot. However, due to the fact that the majority of cyber algorithms are based on significant computational complexity, quantum computing poses a substantial threat to the cyber security of global digital infrastructure, including IoT networks, smart cities, banking, and intelligent infrastructure. This chapter discusses potential security and privacy measures for a post-quantum world against threats posed by quantum computing, including post-quantum cryptography, quantum software testing, post-quantum blockchain technology, and architectural considerations for creating post-quantum secure IoT systems.