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.
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.
The smart grid (SG) embodies the future of power systems, featuring self-healing mechanisms, adaptability, and sustainability. Nevertheless, its interconnected and widely distributed architecture presents substantial cybersecurity challenges, rendering it susceptible to cyber attacks that may cause outages, infrastructure failures, and data breaches, including the exposure of personal information. Public-key cryptography (PKC) has historically been utilized to ensure confidentiality, authenticate devices, and maintain data integrity. However, the rise of quantum computing poses a serious threat to the viability of these PKC algorithms, particularly with the potential implementation of algorithms such as Shor’s algorithm. To address these vulnerabilities, we propose an innovative security protocol for post-quantum communication within SG applications, engineered to resist both classical and quantum threats. Our comparative study reveals that this protocol delivers enhanced security and improved functionality while maintaining low communication and computational costs compared to existing methods. We further demonstrate its practicality through real-time testbed experiments and implementations on a Raspberry Pi, supported by an extensive security assessment using the Scyther automated validation tool. A detailed comparison with Kyber in terms of computational efficiency, storage requirements, and implementation overhead to support our lightweight claim. Finally, a network simulation conducted using Network Simulator 3 (NS3) further demonstrates the performance of the proposed scheme, highlighting its scalability and reliability.
The rapid advancement of quantum computing threatens the security of classical public-key cryptosystems widely used for secure communications in Internet of Things (IoT) and electric vehicle (EV) battery swapping networks. Existing methods, including traditional cryptography and some early post-quantum algorithms, often struggle with high latency, excessive energy consumption, and limited suitability for resource-constrained IoT devices, hindering their practical deployment. This paper proposes PostQ-SwapNet, a novel hybrid framework designed to secure IoT-based EV battery swapping stations against both classical and quantum cyber threats. The system integrates CRYSTALS-Kyber for quantum-resistant key exchange, Dilithium digital signatures for mutual authentication, AES-128 encryption for data confidentiality, and a BiLSTM-based anomaly detection module for real-time threat identification. Additionally, it leverages a private blockchain with smart contracts to ensure transaction immutability and traceability. The objective is to deliver a secure, efficient, and scalable solution compatible with current IoT hardware constraints. This framework reduces latency to 120ms, energy use to 15mJ and memory use to 256KB and still maintains a strong level of security. Python and TensorFlow were used for coding the AI side of the project. The results affirm that PostQ-SwapNet effectively balances security and performance, making it a practical solution for future-proofing EV energy networks against quantum and conventional cyberattacks.
Postquantum cryptography for elevating security against attacks by quantum computers in the Internet of Everything (IoE) is still in its infancy. Most postquantum based cryptosystems have longer keys and signature sizes and require more computations that span several orders of magnitude in energy consumption and computation time, hence the sizes of the keys and signature are considered as another aspect of security by green design. To address these issues, the security solutions should migrate to the advanced and potent methods for protection against quantum attacks and offer energy efficient and faster cryptocomputations. In this context, a novel security framework Lightweight Postquantum ID-based Signature (LPQS) for secure communication in the IoE environment is presented. The proposed LPQS framework incorporates a supersingular isogeny curve to present a digital signature with small key sizes which is quantum-resistant. To reduce the size of the keys, compressed curves are used and the validation of the signature depends on the commutative property of the curves. The unforgeability of LPQS under an adaptively chosen message attack is proved. Security analysis and the experimental validation of LPQS are performed under a realistic software simulation environment to assess its lightweight performance considering embedded nodes. It is evident that the size of keys and the signature of LPQS is smaller than that of existing signature-based postquantum security techniques for IoE. It is robust in the postquantum environment and efficient in terms of energy and computations.
Abstract Advancements in vehicular communication systems, particularly within the Internet of Vehicles (IoV), demand secure, efficient, and scalable cryptographic solutions. As vehicular networks evolve toward quantum-resistant architectures, integrating quantum computing principles—focusing on semiconductor-based qubits—offers promising pathways for enhanced cybersecurity. This work explores the application of lightweight cryptography, specifically the ASCON algorithm, to protect vehicular communications, while addressing the emerging needs for post-quantum security. The proposed hybrid framework combines ASCON with quantum-proof key exchange protocols, ensuring compatibility with semiconductor qubit architectures. Designed for microelectronics, this approach provides resilience against key threats, achieving rapid key generation in the microsecond range. Emphasizing the integration of quantum and microelectronic technologies, this study presents a practical method for embedding quantum-secure cryptography into intelligent transportation systems, bridging current microelectronic designs with future quantum infrastructures.
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.
The rapid integration of Internet of Things (IoT) technologies in Autonomous Vehicles (AVs) has significantly expanded the attack surface of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication systems.These networks exchange large volume of safety-critical data in realtime, which increases their exposure to attacks like message tampering, identity spoofing, and coordinated injection.Traditional cryptographic systems become more suspectable to emerging quantum computing threats, whereas the existing intrusion detection systems suffer from high latency, static encryption, and increased energy consumption due to frequent vehicular movement.These challenges restrict the ability of current systems to guarantee secure, real-time, energy-efficient, and sustainable communication for next-generation AVs.To address these challenges, this study introduced a novel Quantum-Enhanced Lightweight Protocol (QELP) that combines hybrid quantum-classical security mechanisms with adaptive encryption orchestration to improve security, real-time performance, and sustainable operation in IoT-enabled autonomous vehicle sensor networks.QELP combines BB84based Quantum Key Distribution (QKD) and lattice-based post-quantum cryptography (Kyber+) to establish quantum-resilient session keys.The context-aware encryption method dynamically adjusts the encryption intensity and key refresh rate based on residual energy, traffic density, anomaly score, and vehicular mobility to balance security strength and computational overhead.The model includes multi-layer error and attack detection techniques, including quantum-based intrusion alerts, digital signature validation, and behavioural deviation checks.The VeReMi and CARLA-NS3 datasets are employed for message-based V2X attack validation and to assess the networklevel behavior under real-time traffic scenarios.The performance is evaluated by simulations using Python (Qiskit) for quantum layers and NS3 for AV networks.The simulation results outperform with 98.76% attack detection rate, 0.015 false alarm rate, 13.7ms latency, 12.2% energy depletion score, 94.6% security risk score reduction towards a stronger quantumresilient defense and an encryption throughput improvement to 96.8%, handling encrypted data at high speed.The findings confirm that QELP provides a scalable, quantum-resilient, and energy-aware security architecture for next-generation autonomous vehicular communication systems.