The rapid growth of IoT networks has developed connectivity and automation, leading to significant advancements across various domains. However, this expansion is challenging but rather seriously making with the introduction of quantum computing, as it is currently a strong threat to all the established cryptography-based applications. To address these related drawbacks, this study proposes a novel quantum-resistant cryptographic framework called QRC_BIKAES for secure IoT communication. The proposed QRC_BIKAES framework integrates Bit-Flipping Key Encapsulation (BIKE), a Post-Quantum Cryptographic (PQC) algorithm, with Advanced Encryption Standard (AES-128) for its lightweight and efficient data encryption. BIKE ensures robust, quantum-resistant key generation and exchange, while AES-128 provides fast and resource-efficient data encryption suitable for constrained IoT devices. By combining these complementary techniques, the framework effectively addresses quantum security threats while maintaining scalability and performance in resource-constrained IoT environments. This approach presents a significant advancement in IoT security and establishes a resilient and future-ready communication infrastructure.
The rapid growth of IoT networks has developed connectivity and automation, leading to significant advancements across various domains. However, this expansion is challenging but rather seriously making with the introduction of quantum computing, as it is currently a strong threat to all the established cryptography-based applications. To address these related drawbacks, this study proposes a novel quantum-resistant cryptographic framework called QRC_BIKAES for secure IoT communication. The proposed QRC_BIKAES framework integrates Bit-Flipping Key Encapsulation (BIKE), a Post-Quantum Cryptographic (PQC) algorithm, with Advanced Encryption Standard (AES-128) for its lightweight and efficient data encryption. BIKE ensures robust, quantum-resistant key generation and exchange, while AES-128 provides fast and resource-efficient data encryption suitable for constrained IoT devices. By combining these complementary techniques, the framework effectively addresses quantum security threats while maintaining scalability and performance in resource-constrained IoT environments. This approach presents a significant advancement in IoT security and establishes a resilient and future-ready communication infrastructure.
The explosive growth of the Internet of Things (IoT) has revolutionized sectors through enhanced connectivity and automation. However, this growth brings along serious security issues, particularly with the advent of quantum computing that directly threatens classical cryptographic systems. This study presents a novel cryptographic system known as QRC_BIKAES, which integrates Bit-Flipping Key Encapsulation (BIKE) for post-quantum secure key exchange and AES-128 for data encryption for lightweight applications. The system was developed using Python and tested via simulation on a typical desktop environment to assess performance, scalability, and efficiency. Performance results showed efficient cryptographic operations. BIKE key encapsulation and decapsulation took approximately 0.001 seconds, and AES encryption and decryption operated in milliseconds. The system also demonstrated scalability when tested with 1000 simulated IoT devices. The QRC_BIKAES framework ensures secure, quantum-resistant, and resource-efficient IoT communication, offering a promising direction for future-proofing IoT infrastructures against emerging quantum threats.
The rapid growth of the Internet of Things (IoT) has connected billions of smart devices across healthcare, transportation, industrial automation, and smart home environments. While IoT has enhanced automation and data-driven decision-making, its widespread deployment has also increased the risk of cyberattacks. Conventional public-key cryptographic algorithms such as RSA and Elliptic Curve Cryptography (ECC) are vulnerable to future quantum computing attacks, particularly those based on Shor's algorithm. This paper proposes a Quantum-Resistant Cryptographic Framework (QRCF) for secure IoT communication using lattice-based cryptography integrated with lightweight authentication and efficient key management. The framework is designed to meet the computational limitations of IoT devices while ensuring long-term confidentiality and integrity. Performance evaluation demonstrates improvements in security resilience, authentication efficiency, and communication reliability compared with traditional cryptographic approaches. The proposed framework offers a scalable and future-ready solution for protecting IoT ecosystems in the post-quantum era.
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 Internet of Things (IoT) plays a significant role in shaping different aspects of our lives. IoT devices have become increasingly important due to their ability to connect, collect, and analyze data, automate processes, improve safety and efficiency, and deliver personalized experiences. However, the advancement in quantum computer development poses a significant threat to resource-constrained IoT devices. This new generation of computers can break the classic public-key cryptographic schemes and digital signatures implemented in these IoT devices. While protecting IoT devices from quantum computer attacks poses many challenges, researchers are continuously making significant progress in developing lightweight post-quantum cryptographic algorithms for efficient key exchange mechanisms and digital signature algorithms tailored to IoT devices to overcome this issue. This paper proposes Q-SECURE, a post-Quantum resistant Security Enhancing Cryptography for Unified Resource-constrained device Encryption. A novel scheme that enables any IoT system to leverage the assistance of other devices in the network to gain the capability to generate any proposed post-quantum cryptographic key of a given size using distributed and parallel computing.
The rapid expansion of the Internet of Things (IoT) has introduced unprecedented cybersecurity challenges, as traditional cryptographic methods struggle to provide both efficiency and quantum resistance in resource-constrained environments. This research introduces Adaptive Quantum Cryptography (AQC), a novel security framework that integrates Quantum Key Distribution (QKD), Post-Quantum Cryptography (PQC), Quantum Random Number Generators (QRNGs), and AI-driven dynamic adaptation to safeguard IoT networks against evolving cyber threats. Unlike classical encryption techniques such as RSA and ECC, which are vulnerable to quantum attacks, AQC leverages quantum mechanical principles—such as superposition, entanglement, and the no-cloning theorem—to ensure provably secure key exchange and data encryption. The proposed AQC system dynamically adjusts cryptographic protocols based on real-time network conditions, computational resources, and threat intelligence, optimizing security without imposing excessive overhead. Experimental evaluations demonstrate that AQC achieves a 70% improvement in key exchange efficiency, a 50% reduction in computational load, and a 95% resilience rate against quantum attacks compared to conventional encryption methods. Additionally, the integration of QRNGs enhances cryptographic key entropy, while AI-driven anomaly detection enables proactive threat mitigation. This framework is particularly suited for next-generation IoT applications, including smart grids, autonomous vehicles, and industrial automation, where security, scalability, and energy efficiency are critical. By combining quantum-resistant algorithms with adaptive security mechanisms, AQC provides forward secrecy, resistance to quantum adversaries, and robust authentication, ensuring long-term protection for IoT ecosystems in the post-quantum era. The findings underscore AQC’s potential as a foundational security architecture for future quantum-safe IoT networks.
The rapid proliferation of Internet of Things (IoT) devices presents critical cybersecurity challenges, as traditional cryptographic methods often fail to provide both robust security and operational efficiency in resource-constrained environments. This paper introduces Adaptive Quantum Cryptography (AQC), a novel framework designed to secure next-generation IoT networks against evolving classical and quantum-computing threats. The AQC framework synergistically integrates Quantum Key Distribution (QKD) for unbreakable key exchange, Quantum Random Number Generators (QRNGs) for high-entropy key generation, and Post-Quantum Cryptography (PQC) for quantum-resistant data encryption. A key feature of the system is its dynamic adaptation mechanism, which leverages artificial intelligence to intelligently select and adjust cryptographic protocols in real-time based on current network conditions, device computational capabilities, and identified threat levels. This ensures optimal security without imposing excessive overhead on IoT devices. Our comprehensive experimental evaluation demonstrates that the AQC framework significantly outperforms classical techniques, achieving a 70% improvement in key exchange efficiency, a 50% reduction in computational load, and a 95% resilience rate against quantum-based attacks. By providing forward secrecy and robust authentication, the proposed AQC framework offers a scalable, energy-efficient, and future-proof security solution, paving the way for resilient and trustworthy IoT ecosystems in the post-quantum era.