The increasing popularity of 6G communication within the Internet of Vehicles (IoV) ecosystem is expected to induce a surge in both user numbers and data volumes. This expansion will cause substantial challenges in ensuring network security and privacy protection, as well as in addressing the associated issue of inadequate cloud computing resources. In this article, we propose a Quantum Efficient Privacy Protection (QEPP) protocol that leverages reversible information hiding in quantum point clouds. This protocol utilizes quantum communication technology in edge-to-cloud communication of the IoV to transmit sensitive information embedded in quantum state data, thereby ensuring privacy protection. It employs quantum error-correction coding and efficient coding techniques to extract information and recover the carriers. In addition, the protocol utilizes an improved quantum Grover algorithm in the cloud to accelerate the processing speed of quantum data. By addressing security vulnerabilities and improving cloud-computing capabilities, the QEPP can effectively accommodate critical requirements, including precision, timeliness, and robust privacy protection.
The increasing popularity of 6G communication within the Internet of Vehicles (IoV) ecosystem is expected to induce a surge in both user numbers and data volumes. This expansion will cause substantial challenges in ensuring network security and privacy protection, as well as in addressing the associated issue of inadequate cloud computing resources. In this article, we propose a Quantum Efficient Privacy Protection (QEPP) protocol that leverages reversible information hiding in quantum point clouds. This protocol utilizes quantum communication technology in edge-to-cloud communication of the IoV to transmit sensitive information embedded in quantum state data, thereby ensuring privacy protection. It employs quantum error-correction coding and efficient coding techniques to extract information and recover the carriers. In addition, the protocol utilizes an improved quantum Grover algorithm in the cloud to accelerate the processing speed of quantum data. By addressing security vulnerabilities and improving cloud-computing capabilities, the QEPP can effectively accommodate critical requirements, including precision, timeliness, and robust privacy protection.
The advent of 6G technology opens new horizons for communication systems, particularly in the context of Internet of Vehicles (IoV). This interconnected ecosystem facilitates innovative IoT applications, revolutionizing intra-vehicle and inter-vehicle communications. However, the extensive cellular infrastructure of 6G introduces unprecedented security challenges, demanding advanced defense mechanisms against cyber threats. Quantum cryptography emerges as a robust solution, offering rapid and secure communication channels among vehicles while ensuring data integrity. By harnessing the principles of quantum mechanics such as entanglement and superposition, quantum cryptography enables secure data transmission immune to interception or manipulation. This paper presents a comprehensive review of the integration of quantum cryptography with blockchain technology in the context of 6G-enabled IoV. Furthermore, leveraging the processing capabilities of edge nodes, the proposed framework prioritizes critical 6G Key Performance Indicators (KPIs) including trustworthiness, latency, connectivity, data rate, and energy consumption. Through this approach, this paper explores the potential of quantum cryptography and blockchain within the further evolving landscape of 6G-enabled Internet of vehicle security.
The Internet of Vehicles (IoVs) is one of the most popular techniques among the applications of Internet of Things. The existing IoVs are mainly protected by public key cryptographic systems, which provide identity authentication and information security. Nevertheless, using the proposed Shor's algorithm, the security of all classical cryptographic schemes will be exposed to future quantum computer technologies. Fortunately, based on the unconditional security property of quantum mechanics, direct communication protocols can resist quantum computer attacks and deliver secret messages directly without the requirement of pre-shared keys. For IoV networks, we present a continuous-variable quantum secure direct communication (CV-QSDC) protocol in which the orbital angular momentum (OAM) is used as the information carrier. For one thing, the field of continuous-variable quantum communication system is compatible with the standard telecommunication technology; for another, orbital angular momentum eigenstates for coding possess higher information capacity.
The Internet of Vehicles (IoV) has the potential to improve the efficacy and safety of transportation, but it is also vulnerable to a variety of security threats. Traditional cryptographic methods are susceptible to vulnerabilities amid the imminent threat of quantum computation. In order to establish secure communication channels, this chapter investigates the integration of Quantum Key Distribution (QKD) into IoV. It explores the principles of QKD, its advantages over classical cryptography, and the obstacles associated with its implementation in vehicular networks. Key management strategies are examined in the chapter, which also provides a thorough examination of QKD protocols that are appropriate for IoV. Additionally, it examines practical aspects, including resource optimization, error correction, and the establishment of quantum channels. This research safeguards critical vehicle-to-vehicle and vehicle-to-infrastructure communications by addressing these challenges, thereby contributing to the development of robust and secure IoV systems.
Advanced connection and autonomous features are being made possible by the Internet of Vehicles (IoV), which is causing a revolution in transportation. Strong security measures are required, however, because the prevalence of connected devices also increases the likelihood of cyberattacks and data breaches. This study introduces a new method for protecting IoV networks, which combines Blockchain technology with Quantum Key Distribution (QKD), creating a security architecture with two layers. Internet of Vehicles (IoV) technologies enable autonomous driving and real-time data exchange by connecting vehicles to infrastructure and one another. These advancements make things safer and more efficient, but they also put sensitive information at risk of cyberattacks. Modern security measures are essential since traditional encryption methods are becoming more and more insecure. To provide encryption that is theoretically unbreakable, the suggested system uses QKD to create and distribute cryptographic keys based on principles of quantum mechanics. To improve trust and transparency, blockchain technology is used to record these keys and any subsequent transactions in an immutable, distributed ledger. A hybrid architecture, with QKD securing the key exchange and Blockchain ensuring the integrity and authenticity of the communication, is designed as part of the integration process. Improved security and speed have been shown in simulations and prototype implementations of the QKD-Blockchain architecture in IoV networks. By preventing eavesdropping and key interception, the QKD technique kept the communication channel secure. With an average delay of only about 2 milliseconds, QKD performed admirably and was well below the permitted range for real-time vehicular communications. On average, validation durations for transactions were 5 milliseconds, which was a little overhead due to blockchain integration. The system efficiently handled up to 10,000 transactions per second without affecting security or performance, proving that it can serve massive IoV networks, according to scalability testing. Under high-load scenarios, the framework maintained consistent performance and security, proving its robustness in stress tests. Together, QKD and Blockchain provide a scalable and trustworthy option for future vehicular communication networks, and these results show how feasible and robust it is to use them to protect IoV systems. An intriguing approach to the security issues plaguing IoV systems is the integration of QKD with Blockchain technology. An unparalleled level of protection against cyber threats is provided by the dual-layered system, which guarantees strong encryption and data integrity. This fresh method may lead to improved and more trustworthy IoV networks by establishing new benchmarks for secure vehicular communication. In order to optimize the implementation and tackle any new issues that may arise, more research and development should be conducted.
This paper presents a novel privacy computation protocol design leveraging the inherent properties of quantum error correction (QEC) codes. The core idea is to encode quantum computation data into QEC codes and perform error correction during the computation process, thereby safeguarding data privacy. This approach significantly enhances the security of privacy protection compared to traditional methods. The protocol utilizes a specific QEC code structure to minimize information leakage while performing the desired computation. This design addresses a critical challenge in privacy-preserving quantum computing – the vulnerability of quantum data to eavesdropping – offering a potential pathway towards secure multi-party quantum computation. The effectiveness of the protocol is demonstrated through a theoretical analysis, outlining its key components and security guarantees.
Communication in the green Internet of Vehicles (IoV) demands significant energy, encompassing both communication and computation costs, along with fuel and electricity for vehicle operation. The rise of quantum computing threatens the security of existing IoV frameworks, particularly those relying on conventional public-key cryptosystems (PKC) like integer factorization and elliptic curve cryptography, which are vulnerable to quantum attacks. This paper proposes a lightweight, postquantum security protocol for electric vehicles (EVs) in IoV, aimed at reducing computation and communication costs while enhancing energy efficiency. We conduct a comprehensive security analysis and compare our protocol with existing solutions, demonstrating its superior security, scalability, and practical effectiveness. Network simulations using NS3 further validate the robustness and efficiency of the proposed scheme for green IoV applications.