Under the usage of new technologies, Internet of Things (IoT) develops rapidly and provides a great convenience for our lives. It is critical for ensuring security to IoT systems as the tremendous growth of IoT applications. Although many cryptography tools (such as identity-based encryption) have been given to provide appropriate security in IoT covering various application fields such as smart home, how to guarantee data confidentiality, provide reasonable data source identification, and resist quantum attacks simultaneously has been a challenging problem. To address this problem, we propose a matchmaking encryption scheme named lattice-based matchmaking identity-based encryption (LMIBE) which can provide bilateral access control for both sender and receiver in IoT systems, and resist quantum attacks. Moreover, we give a formal definition and a security definition for our scheme. Security proof shows that our scheme is secure under the proposed security definition. Finally, by comparing the performance of our scheme with existing works, our proposed scheme has a broad application prospect in IoT environment.
Under the usage of new technologies, Internet of Things (IoT) develops rapidly and provides a great convenience for our lives. It is critical for ensuring security to IoT systems as the tremendous growth of IoT applications. Although many cryptography tools (such as identity-based encryption) have been given to provide appropriate security in IoT covering various application fields such as smart home, how to guarantee data confidentiality, provide reasonable data source identification, and resist quantum attacks simultaneously has been a challenging problem. To address this problem, we propose a matchmaking encryption scheme named lattice-based matchmaking identity-based encryption (LMIBE) which can provide bilateral access control for both sender and receiver in IoT systems, and resist quantum attacks. Moreover, we give a formal definition and a security definition for our scheme. Security proof shows that our scheme is secure under the proposed security definition. Finally, by comparing the performance of our scheme with existing works, our proposed scheme has a broad application prospect in IoT environment.
The rapid expansion of the Internet of Things (IoT) has led to an unprecedented scale of data exchange across heterogeneous and resource-constrained devices. Ensuring confidentiality and secure key management in such environments is challenging. Traditional public-key infrastructures require heavy certificate-handling overhead. Identity-Based Encryption (IBE) offers a lightweight alternative by deriving public keys directly from device identities, making it attractive for IoT deployments. However, IoT devices are highly vulnerable to side-channel and key-extraction attacks, motivating the need for Forward-Secure IBE(FS-IBE), where the compromise of a current secret key does not threaten past communications. Existing FS-IBE constructions based on classical hardness assumptions are not secure in the era of post-quantum, while the lattice-based (LWE-based) forward-secure scheme suffer from large key and ciphertext sizes, limiting their suitability for constrained IoT systems. Here, we propose a new lattice-based fs-IBE scheme in the ring setting, relying on the RLWE assumption to achieve post-quantum security and significant efficiency gains. Our design uses trapdoor delegation with a minimal-cover mechanism over a binary tree. It results in compact public parameters and efficient per-epoch key updates. Compared to prior LWE-based constructions, our scheme reduces public key, secret key, and ciphertext sizes, and thus, making it better suited for practical IoT environments.
Internet of Things (IoT) is one of the most representative application scenarios in the 5G and 6G era. The concurrent access of massive IoT devices definitely poses enormous communication, computation, and certificate management challenges to the wireless authentication. Moreover, the emergence of quantum computing makes classical cryptography-based authentication protocols, such as 5G-AKA, more easier to be broken. Facing the challenges posed by the massive concurrent authentication and quantum attacks, this paper proposes a lattice cryptography based group authentication scheme, where lattice-based aggregate signature algorithm and identity-based encryption (IBE) are leveraged to achieve simultaneous authentication of concurrent accessed devices. The proposed authentication scheme eliminates the process of public key certificate management, greatly reducing the storage overhead of core network. Moreover, the utilization of lattice cryptography enables the resistance of quantum attacks. The proposed solution does not rely on additional security assumptions such as security channel or trusted group center, making it more flexible to be deployed in actual network scenario. Finally, formal security analysis of the proposed protocol is provided with the tool ProVerif. It is demonstrated that the proposed protocol can satisfy the goals of identity privacy, authentication, data confidentiality and forward secrecy. In addition, compared with existing advanced solutions, the outperformance of the proposed scheme in terms of computation overhead, signaling overhead, communication overhead, and security properties is validated with simulations.
Cyberattacks on the power grid serve as a reminder that while the smart Internet of Things (IoT) can help us control our lightbulbs, it also runs the risk of putting us in the dark if attacked. Many works of literature have recently attempted to address the issues surrounding IoT security, but few of them tackle the serious dangers that the development of quantum computing poses to IoT. Lattice-based encryption, a likely contender for the next post-quantum cryptography standard, benefits from strong security guarantees and great efficiency, making it well-suited for IoT applications. In this article, we list the benefits of lattice-based cryptography and the most recent developments in IoT device implementations. The Internet of Things (IOT) is a new technology that is anticipated to improve human lives. According to Cisco research, by 2020, there will be a vast array of IOT devices that will span every industry, including transportation, healthcare, and smart gadgets for every aspect of daily life. IOTs are improving user experience by making smart devices smarter and their services of high quality. The devices' unfettered access to the whole network makes the IOT's security issues more susceptible. The research paper will contribute to the presentation of a compiled report on the security issues with IOTs and the cryptographic techniques utilised to address them.
With the rapid expansion of consumer electronics and the Internet of Things (IoT) ecosystem, ensuring secure communication in resource-constrained edge devices has become a critical challenge, especially under the threat of quantum attacks. Although lattice-based cryptographic schemes provide post-quantum security, they often suffer from large key storage and high computational overhead, limiting their applicability in edge environments. To address these challenges, we propose an identity-based linkable ring signcryption scheme constructed on the post quantum Lattice cryptography, tailored for edge-enabled IoT systems. The scheme employs a trapdoor generation algorithm to establish the master keys, utilizes compact Gaussian sampling to derive private keys for ring members, and integrates rejection sampling to generate user signatures with strong anonymity. Furthermore, a key encapsulation mechanism ensures identity protection during encryption. Security analysis under the Random Oracle Model (ROM) demonstrates the scheme's resistance to forgery and its linkability property. Performance evaluation shows that the proposed approach achieves smaller public keys, reduced encryption/decryption costs, and enhanced efficiency, making it well-suited for lightweight IoT and consumer electronics applications in the post-quantum era.
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.
Identity-based encryption is an important cryptographic system that is employed to ensure confidentiality of a message in communication. This article presents a provably secure identity based encryption based on post quantum security assumption. The security of the proposed encryption is based on the hard problem, namely Learning with Errors on integer lattices. This construction is anonymous and produces pseudo random ciphers. Both public-key size and ciphertext-size have been reduced in the proposed encryption as compared to those for other relevant schemes without compromising the security. Next, we incorporate the constructed identity based encryption (IBE) for Internet of Things (IoT) applications, where the IoT smart devices send securely the sensing data to their nearby gateway nodes(s) with the help of IBE and the gateway node(s) secure aggregate the data from the smart devices by decrypting the messages using the proposed IBE decryption. Later, the gateway nodes will securely send the aggregated data to the cloud server(s) and the Big data analytics is performed on the authenticated data using the Artificial Intelligence (AI)/Machine Learning (ML) algorithms for accurate and better predictions.