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 $\mathbf{1 2 0 ~ m s}$, energy use to $\mathbf{1 5 ~ m J}$ and memory use to $\mathbf{2 5 6 ~ K B}$ 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.
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.
In the contemporary era, the global proliferation of Internet of Things (IoT) devices exceeds 15 billion, serving functions from wearables to smart grid monitoring. These devices frequently manage sensitive data, underscoring the need for secure and reliable IoT networks leveraging blockchain technology. A key innovation of this study is an approach to mitigate vulnerabilities that quantum computing poses to blockchain-based IoT systems, which existing cryptographic methods cannot effectively address. Quantum computers could exploit these weaknesses to compromise key-pair generation and extract private keys from transaction signatures. To overcome this, the research introduces an optimized implementation of the post-quantum digital signature algorithm Dilithium-5, ensuring blockchain security and quantum readiness. These transaction signatures are designed for low-power, cost-effective microcontrollers, such as the ESP32, making the solution accessible for a wide range of IoT devices. In addition, the study includes a case study involving a post-quantum safe portable device for measuring blood oxygen levels and heart rate, illustrating the practical benefits and effectiveness of the proposed solution in enhancing IoT security against quantum threats. The results demonstrate that the proposed approach ensures quantum-resistant security while maintaining performance efficiency, making it suitable for real-world IoT applications.
The emergence of quantum computing seriously threatens the security of legacy cryptographic protocols in consumer electronics devices based on the Internet of Things (IoT). These are essential components of mission-critical infrastructures, such as industrial control systems, smart grids, and healthcare. In particular, this work examines how to strengthen the resistance of the IoT to classical and quantum-based cyberattacks by combining deep learning methods with post-quantum cryptography (PQC). To protect key exchange, encryption, and authentication processes in IoT-consumer devices, we will continue to use quantum-resistant cryptographic algorithms, including lattice-based, hash-based, and code-based cryptography. To provide real-time anomaly detection and response capabilities, we suggest a hybrid security framework combining PQC with deep learning-based intrusion detection systems. Our methodology ensures secure communications and data exchanges linked to quantum attacks in the future within IoT systems while leveraging continuous learning over time to allow Intrusion Detection System (IDS) models to adapt to new attack vectors. We suggest optimized algorithms for PQC solutions that are lightweight and suitable for deployment in edge computing nodes and Internet of Things devices, considering the resource-constrained IoT situations where PQC implementation would be difficult. Through comparative studies and simulations, we demonstrate how our integrated PQC-deep learning framework offers an improved IoT security solution that could safeguard vital systems in a world powered by quantum technology. The results shows the key generation time which is 12.5ms, encryption/decryption time 25.3ms, latency 18.7ms, throughput 5000 operations/sec and energy consumption 2.4mJ.
The rapid proliferation of Internet of Things (IoT) devices has revolutionized digital communication, yet it simultaneously poses unprecedented security challenges due to constrained device capabilities and increasing cyber threats. Conventional cryptographic techniques, while currently effective, are vulnerable to emerging quantum computing technologies that threaten to render classical encryption obsolete. This paper explores the integration of quantum-safe cryptographic techniques within IoT networks to ensure long-term confidentiality, integrity, and authentication. It examines post-quantum cryptographic primitives, including lattice-based, hash-based, multivariate, and code-based schemes, and evaluates their suitability for resource-constrained IoT environments. The study focuses on lightweight implementation strategies, balancing computational efficiency with robust security requirements. Simulation analyses demonstrate that properly optimized quantum safe protocols can provide resilient encryption, key exchange, and digital signature functionalities without overwhelming device resources. Furthermore, the integration of these techniques with IoT communication standards and secure network protocols ensures end-to-end protection across heterogeneous networks. Challenges such as latency, energy consumption, and scalability are addressed, highlighting the necessity of tailored cryptographic solutions for diverse IoT applications. The findings confirm that quantum safe cryptography is essential for future-proofing IoT networks, offering sustainable security measures that remain resilient against both classical and quantum adversaries, thereby supporting the continued expansion of secure and intelligent interconnected systems.
The rapid expansion of Internet of Things (IoT) ecosystems has introduced significant security challenges due to resource-constrained devices, heterogeneous network architectures, and largescale connectivity. Traditional authentication and key exchange mechanisms, primarily based on classical cryptographic algorithms such as RSA and ECC, are vulnerable to future quantum computing attacks. The emergence of quantum algorithms, particularly Shor’s algorithm, threatens the long-term confidentiality and integrity of IoT communications. This paper proposes a Quantum-Resistant Authentication and Key Exchange Protocol specifically designed for secure IoT architectures. The proposed framework integrates post-quantum cryptographic primitives, including lattice-based key exchange mechanisms and hash-based authentication schemes, optimized for low computational overhead suitable for constrained IoT devices. The protocol ensures mutual authentication, forward secrecy, and resistance against quantum adversaries while maintaining minimal communication latency. Security analysis demonstrates robustness against replay, man-in-the-middle, and key-compromise attacks. Performance evaluation shows that the proposed solution achieves a balance between quantum security strength and resource efficiency, making it suitable for next-generation IoT deployments in smart cities, healthcare systems, and industrial automation.
The rapid expansion of the Internet of Things (IoT) has connected billions of devices, creating a global network that manages everything from smart homes to critical industrial infrastructure. However, this connectivity faces an existential threat: the rise of Quantum Computing. Standard encryption methods like RSA and ECC, which currently protect these devices, will be easily broken by future quantum computers using Shor's Algorithm. While the National Institute of Standards and Technology (NIST) has standardized new "Post-Quantum" algorithms (like Kyber and Dilithium), simply plugging them into small IoT devices is not easy. These new algorithms are often heavy, and IoT devices have very limited battery and processing power. This paper bridges this gap by proposing "PQ-IoT", a complete, end-to-end security framework designed specifically for the real-world constraints of IoT. Unlike previous studies that look at algorithms in isolation, we designed a unified system with three layers: (1) A robust Hybrid Cryptosystem (X25519 + Kyber-768) for secure servers, (2) A lightweight encryption module (Kyber-512) for battery-powered sensors, and (3) A fast authentication mechanism (ML-DSA-44) for gateways. We built a virtual laboratory using ARM64 emulation to test this framework. Our results show that the entire system is incredibly efficient, with encryption taking only 0.20 ms and verification taking 0.50 ms. This proves that we can secure the future of IoT without sacrificing performance.
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.