The emergence of the Internet of Things (IoT) and the tactile internet presents high-quality connectivity strengthened by next-generation networking to cover a vast array of smart systems. Quantum computing is another powerful enabler of the next technological revolution, which will improve the world tremendously, and it will continue to grow to cover an extensive array of important functions, in addition to it receiving recently great interest in the scientific scene. Because quantum computers have the potential to overcome various issues related to traditional computing, major worldwide technical corporations are investing competitively in them. However, along with its novel potential, quantum computing is introducing threats to cybersecurity algorithms, as quantum computers are able to decipher many complex mathematical problems that classical computers cannot. This research paper proposes a robust and performance-effective lattice-driven cryptosystem in the context of face recognition that provides lightweight intelligent bio-latticed cryptography, which will aid in overcoming the cybersecurity challenges of smart world applications in the pre- and post-quantum era and with sixth-generation (6G) networks. Since facial features are symmetrically used to generate encryption keys on the fly without sending or storing private data, our proposal has the valuable attribute of dramatically combining symmetric and asymmetric cryptography operations in the proposed cryptosystem. Implementation-based evaluation results prove that the proposed protocol maintains high-performance in the context of delay, energy consumption, throughput and stability on cellular network topology in classical Narrowband-Internet of Things (NB-IoT) mode.
The emergence of the Internet of Things (IoT) and the tactile internet presents high-quality connectivity strengthened by next-generation networking to cover a vast array of smart systems. Quantum computing is another powerful enabler of the next technological revolution, which will improve the world tremendously, and it will continue to grow to cover an extensive array of important functions, in addition to it receiving recently great interest in the scientific scene. Because quantum computers have the potential to overcome various issues related to traditional computing, major worldwide technical corporations are investing competitively in them. However, along with its novel potential, quantum computing is introducing threats to cybersecurity algorithms, as quantum computers are able to decipher many complex mathematical problems that classical computers cannot. This research paper proposes a robust and performance-effective lattice-driven cryptosystem in the context of face recognition that provides lightweight intelligent bio-latticed cryptography, which will aid in overcoming the cybersecurity challenges of smart world applications in the pre- and post-quantum era and with sixth-generation (6G) networks. Since facial features are symmetrically used to generate encryption keys on the fly without sending or storing private data, our proposal has the valuable attribute of dramatically combining symmetric and asymmetric cryptography operations in the proposed cryptosystem. Implementation-based evaluation results prove that the proposed protocol maintains high-performance in the context of delay, energy consumption, throughput and stability on cellular network topology in classical Narrowband-Internet of Things (NB-IoT) mode.
The latest quantum computers have the ability to solve incredibly complex classical cryptography equations particularly to decode the secret encrypted keys and making the network vulnerable to hacking. They can solve complex mathematical problems almost instantaneously compared to the billions of years of computation needed by traditional computing machines. Researchers advocate the development of novel strategies to include data encryption in the post-quantum era. Lattices have been widely used in cryptography, somewhat peculiarly, and these algorithms have been used in both; (a) cryptoanalysis by using lattice approximation to break cryptosystems; and (b) cryptography by using computationally hard lattice problems (non-deterministic polynomial time hardness) to construct stable cryptographic functions. Most of the dominant features of lattice-based cryptography (LBC), which holds it ahead in the post-quantum league, include resistance to quantum attack vectors, high concurrent performance, parallelism, security under worst-case intractability assumptions, and solutions to long-standing open problems in cryptography. While these methods offer possible security for classical cryptosytems in theory and experimentation, their implementation in energy-restricted Internet-of-Things (IoT) devices requires careful study of regular lattice-based implantation and its simplification in lightweight lattice-based cryptography (LW-LBC). This streamlined post-quantum algorithm is ideal for levelled IoT device security. The key aim of this survey was to provide the scientific community with comprehensive information on elementary mathematical facts, as well as to address real-time implementation, hardware architecture, open problems, attack vectors, and the significance for the IoT networks.
The Internet of Things (IoT) and localization are two important technology enablers. An important IoT technology is the Narrow-Band Internet of Things (NB-IoT), which is a 3GPP standards compliant connectivity solution. Quantum computing, another developing technological paradigm, promises novel computational opportunities, but it has also been used to compromise many cybersecurity procedures. Therefore, improved methods to mitigate such jeopardies are needed. In this research, we propose a cryptographic system that guarantees post-quantum IoT security. The ultimate value of a location-driven cryptosystem is to use geographic location as a player’s identity and credential. Position-driven cryptography using lattices is efficient and lightweight, and it can be used to protect sensitive and confidential data in many critical situations that rely heavily on exchanging confidential data. Based on our best knowledge, this research starts the study of unconditional-quantum-resistant-location-driven cryptography by using the Lattice problem for the Internet of Moving Things (IoMT) in pre-and post-quantum world. Unlike existing schemes, the proposed cryptosystem is the first secure and unrestricted position-based protocol that guards against any number of collusion attackers and against quantum attacks. It has a guaranteed authentication process, solves the problems of distributing public keys by cancelling public key infrastructure (PKI), offers secure NB-IoT without SIM cards, and resists location spoofing attacks. Furthermore, it can be generalized for any network – not just NB-IoT.
The rise of quantum computing poses a serious threat to traditional cryptosystems, such as RSA and ECC, which rely on the mathematical problem of factoring large numbers and dealing with discrete logarithms Quantum algorithms such as Shor and Grover can solve solve these problems effectively, so that classical The encryption is simple. This research addresses the urgent need for quantum-resistant cryptographic algorithms to protect next-generation networks, including 5G, IoT, and cloud computing, from future quantum attacks. The main objective of this study is to investigate the efficiency and scalability of quantum post-cryptography techniques, especially lattice-based cryptography, and to evaluate their performance in comparison with traditional cryptography and other post-quantum techniques. It also provides robust protection against quantum attacks and reasonable scalability to large networks, while delivering large key size requirements, low connectivity and excess capacity. The study concludes that lattice-based cryptography is an appropriate solution that balances quantum resistance with practical performance in real-world applications to ensure secure communications in the post-quantum era.
This paper presents lightweight Post-Quantum Cryptography (PQC), identifying its importance for a shift from traditional cryptographic schemes, vulnerable to quantum threats, to efficient PQC algorithms. Lattice-based cryptography stands out owing to its small key sizes and computational efficiency, with CRYSTALS-Kyber and NTRU algorithms being substantial representatives for Internet of Things (IoT) applications. However, PQC implementation in IoT environments has various obstacles to overcome. Minimizing energy consumption, scalability, and hardware limitations remain key challenges for PQC smooth integration into these resource-constrained networks. The present review analyzes the state-of-the-art PQC, makes security and performance comparisons among leading algorithms, and evaluates optimization techniques aimed at reducing resource overheads. Algorithmic refinement, hardware acceleration, and hybrid cryptography are also discussed as methods for mitigating these challenges. The results indicate that continuous research and development efforts should be made to improve the PQC technologies, and thus achieve their practical deployment in IoT systems. Quantum threats in IoT will be, hence, prevented with the employment of secure and scalable IoT ecosystems in a post-quantum world.
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.
Introduction. This review delves into lattice-based encryption and its implications for bolstering the protection of Internet of Things (IoT) systems. The survey extensively explores the post- quantum robustness of inherent in lattice-based cryptographic techniques, highlighting their potential to effectively address the evolving security challenges within the IoT domain. Methods. The literature review not only scrutinizes traditional, pre-quantum cryptography methods but also conducts a thorough analysis of quantum computing and its possible influence on existing encryption techniques, emphasizing the necessity for post-quantum solutions. Developing. The paper discusses the pivotal role of the National Institute of Standards and Technology (NIST) in standardizing post-quantum cryptography as well as presents a comprehensive analysis their work in this domain. A focused examination of NIST finalists reveals lattice-based cryptography as a key area of research, delving into its mechanisms and operational principles. Conclusion. The paper concludes with an in-depth exploration of diverse lattice-based cryptography applications within various IoT systems, encompassing domains such as E- health, smart cities, smart grids, vehicular communications, and industrial IoT systems. This comprehensive analysis provides valuable insights into the multifaceted landscape of lattice-based encryption and its versatile implementatios across different IoT domain.