The incorporation of Electric Vehicles into smart grid networks poses great cybersecurity threats, especially with respect to the secure authentication of devices and communications between charging stations, electric vehicles, and grid operators. Conventional cryptography methods like RSA and ECC are susceptible to quantum computing attacks, which call for the implementation of post-quantum cryptography in order to make these systems quantum-resistant. This paper discusses need and imminence of post-quantum cryptography-based authentication mechanisms for improving the security of smart grid infrastructure that facilitates Electric Vehicles operation and charging stations. It introduces the existing authentication protocols, their shortcomings from a quantum threat perspective, and suggests a framework using quantum-resistant algorithms for authenticating devices, exchanging keys, and ensuring data integrity. Moreover, we tackle scalability, efficiency, and standardization issues regarding the deployment of PQC-based solutions in large-scale smart grid settings. This research identifies the compelling need for secure, quantum-resistant authentication systems to protect the increasing overlap of electric vehicles and smart grid networks, with a view to maintaining secure, reliable, and future-proof energy infrastructures.
The incorporation of Electric Vehicles into smart grid networks poses great cybersecurity threats, especially with respect to the secure authentication of devices and communications between charging stations, electric vehicles, and grid operators. Conventional cryptography methods like RSA and ECC are susceptible to quantum computing attacks, which call for the implementation of post-quantum cryptography in order to make these systems quantum-resistant. This paper discusses need and imminence of post-quantum cryptography-based authentication mechanisms for improving the security of smart grid infrastructure that facilitates Electric Vehicles operation and charging stations. It introduces the existing authentication protocols, their shortcomings from a quantum threat perspective, and suggests a framework using quantum-resistant algorithms for authenticating devices, exchanging keys, and ensuring data integrity. Moreover, we tackle scalability, efficiency, and standardization issues regarding the deployment of PQC-based solutions in large-scale smart grid settings. This research identifies the compelling need for secure, quantum-resistant authentication systems to protect the increasing overlap of electric vehicles and smart grid networks, with a view to maintaining secure, reliable, and future-proof energy infrastructures.
The increasing integration of smart grids within the Internet of Things (IoT) ecosystem requires the implementation of robust security measures due to vulnerabilities brought about by pervasive connectivity. Previous smart grid security protocols are based on classical cryptographic algorithms, which are susceptible to significant threats from emerging quantum computers. Consequently, the adoption of quantum-resistant solutions is imperative for the long-term security of smart grids. This article presents a novel protocol for authentication and secret key establishment in smart grids, utilizing post-quantum cryptography (PQC) algorithms. Our proposed protocol employs the FALCON digital signature algorithm for integrity verification and the CRYSTALS-Kyber key encapsulation mechanism (KEM) for secret key establishment, providing robust protection against quantum attacks. Our optimized implementation of the proposed protocol on a graphics processing unit (GPU) targets grid security module (GSM)/gateway-side deployments and demonstrates scalability under large numbers of concurrent authentication requests. Experimental validation demonstrates the proposed protocol’s ability to effectively manage numerous concurrent authentication requests, ensuring secure and efficient communication within smart grid networks.
The potential of the swift development of quantum computing is an extreme danger to the traditional cryptographic programs, and they are the foundation of the modern communication infrastructure. RSA and ECC are classical public-key algorithms that can be successfully quantum-attacked, in particular, Shor's algorithm can easily factor large integers and calculate discrete logarithms (Bernstein et al., 2017). The Post-Quantum Cryptography (PQC) has become the key to secure the next-generation communication networks against these threats, which relies on lattice problem-based algorithms, hash-based based algorithms, multivariate polynomials-based algorithms, and code-based cryptography. The paper examines the concepts, design, and implementation issues of PQC within current network infrastructure focusing on the secure transmission of data, authentication, and key management in the upcoming 5G and 6G networks. The approach will include the survey of existing algorithms of PQC, model the integration of protocol in the communication systems and test computational efficiency, security strength, and scalability. It has been found that PQC is suitable to protect network communications against quantum attackers, and achieves reasonable performance, though trade-offs can be seen in terms of computation overhead, key size, and latency. The research offers understanding to the researcher, network engineers and policy makers in order to adopt quantum resistant cryptography protocols to secure the confidentiality, integrity and authenticity of information in the future communication networks.
The rapid advancement of quantum computing poses a significant threat to classical cryptographic mechanisms, necessitating the integration of Post-Quantum Cryptography (PQC) into security frameworks for IoT-enabled power electronics. Smart grids and industrial automation systems rely on interconnected IoT devices for real-time control, monitoring, and data exchange, making them highly vulnerable to emerging quantum threats. This book chapter explores PQC frameworks tailored for securing power electronics in smart grid and industrial applications, addressing critical challenges such as computational overhead, communication latency, system compatibility, and scalability. The impact of PQC on real-time performance was evaluated, considering its influence on industrial IoT networks, cryptographic handshake efficiency, and data transmission reliability. Hybrid cryptographic solutions that combine classical and post-quantum approaches are assessed for their feasibility in power electronics IoT systems. Security resilience under adverse network conditions, including cyberattacks and network disruptions, was also analyzed to ensure seamless PQC integration without compromising operational stability. Through a comprehensive study of PQC implementation, performance optimization, and interoperability testing, this chapter provides insights into the future of secure and resilient power electronics systems in quantum-era cybersecurity landscapes.
The Smart Grid (SG) represents the next-generation power system in the future grid infrastructure, designed for self-healing, adaptability, and sustainability. However, the interconnected and geographically dispersed nature of SG systems introduces cybersecurity risks, potentially leading to severe incidents. Cyber attacks on SG applications could result in significant events, including outages and infrastructure damage. These attacks may compromise energy data, starting with the leakage of personal information from grid members. To address these risks, confidentiality, device authentication, and data integrity are essential, traditionally implemented through public-key cryptography (PKC). The rise of quantum computers and the potential adaptation of algorithms like Shor’s poses a threat to PKC algorithms in SG communications. In response, we propose a security protocol for post-quantum communication in SG applications, ensuring resilience against classical and quantum attacks. The protocol has been tested through rigorous informal security analysis, and comparative analysis demonstrates its scalability and effectiveness in real-world scenarios.
The emergence of quantum computing is expected to break many conventional cryptographic algorithms currently used for authentication and secure communication. Existing security mechanisms in Next Generation Networks (NGNs), including 5G, IoT, smart healthcare, and cloud-based systems, are increasingly vulnerable to future quantum attacks. This research presents a lightweight and efficient Post-Quantum Cryptography (PQC) based authentication framework specifically designed for next generation network environments. The proposed framework combines quantum-resistant cryptographic techniques with optimized authentication procedures to provide secure identity verification, confidential communication, and attack resistance with minimal computational complexity. The model emphasizes reduced overhead, faster authentication response, and scalability for resource-constrained devices. Security analysis shows that the framework can effectively defend against replay attacks, impersonation attacks, session hijacking, and quantum-based cryptanalytic threats. Experimental evaluation indicates that the proposed approach achieves improved security performance while maintaining low latency and reduced resource consumption, making it suitable for practical deployment in future intelligent communication networks.
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.