In the context of the development of quantum computing, traditional cryptographic algorithms used to protect data in industrial controllers are losing their stability. This article is devoted to the analysis of theoretical and applied aspects of the implementation of post-quantum cryptography in industrial automation systems. The existing threats, the architecture of industrial controllers, limitations on computing resources and requirements for cryptographic primitives are considered. An overview of the main classes of post-quantum algorithms, such as lattice, code and hash-based schemes, is provided, and a formalized analysis of security and threat models is carried out. Recommendations for the use of post-quantum solutions are presented, taking into account the features of embedded systems and industrial security standards.
In the context of the development of quantum computing, traditional cryptographic algorithms used to protect data in industrial controllers are losing their stability. This article is devoted to the analysis of theoretical and applied aspects of the implementation of post-quantum cryptography in industrial automation systems. The existing threats, the architecture of industrial controllers, limitations on computing resources and requirements for cryptographic primitives are considered. An overview of the main classes of post-quantum algorithms, such as lattice, code and hash-based schemes, is provided, and a formalized analysis of security and threat models is carried out. Recommendations for the use of post-quantum solutions are presented, taking into account the features of embedded systems and industrial security standards.
The explosive growth of Industrial Internet of Things (IIoT) technologies has been reshaping manufacturing, energy, transportation and infrastructure with real-time monitoring and automation supported by predictive analytics. The more interconnected machines are, the more vulnerable they become to advanced cyberattacks. RSA and ECC are two of the dominant cryptographic algorithms that 60% of the IIoT communications today. They are still susceptible to quantum computing attacks, especially from Shor, which can easily break public-key encryption. This new risk, and the threat it represents, calls for a monitoring of the quantum situation by adding Post Quantum Cryptography (PQC) to guarantee data privacy and resilient systems. This work studies the quantum-empowered security approach to IIoT environment and considers lattice-based, hash-based and code-based cryptography techniques immune to quantum attacks. This paper investigates the industrial system design demands, identifies some of these weaknesses, and presents a secure communication architecture including post-quantum cryptography for device authentication, secure firmware updates and data encryption. Studies show that due to constraints in resources, triage for IIoT devices is difficult, especially because of limitations of processors, among others; latency and scalability are two issues. The approach proposed showcases a means for industrial cybersecurity to benefit from post-quantum cryptography without losing efficiency.
This article analyzes the threats to the security of modern cryptographic systems posed by the development of quantum computers, as well as the emergence of the concept of post-quantum cryptography as a solution to these problems. The study demonstrates that classical public-key cryptosystems, particularly RSA, DSA, and elliptic curve-based algorithms, can be broken using quantum algorithms. At the same time, new cryptographic systems based on hash functions, codes, lattices, and multivariate quadratic equations are considered a promising direction. The main challenges related to the efficiency, reliability, and applicability of post-quantum cryptography are also highlighted. As a result, the necessity of developing new cryptographic standards to ensure future information security is demonstrated.
The paper proposes strategic steps that organizations can take to future-proof their security architecture against quantum threats for the security of data integrity and confidentiality in the post-quantum era. it is a very threat that quantum computing is advancing too fast, and the classical cryptographic systems will be in danger. Therefore, we need to modify the methods of cryptography in Quantum- Safe Cryptography. In this paper, we focus on exposing the vulnerabilities of existing public-key cryptosystems faced with quantum attacks and the direction of the post-quantum cryptographic (PQC) algorithm in securing the underlain infrastructure. The paper discusses ongoing efforts to standardize cryptosystems led by the National Institute of Standards and Technology (NIST). It overviews several quantum-resistant cryptographic techniques: lattice-based, hash-based, and code-based examples. Moreover, the paper also outlines difficulties in implementing quantum-safe cryptography solutions into currently in-place cybersecurity frameworks, especially in the finance, healthcare, and critical infrastructure industries.
The paper proposes strategic steps that organizations can take to future-proof their security architecture against quantum threats for the security of data integrity and confidentiality in the post-quantum era. it is a very threat that quantum computing is advancing too fast, and the classical cryptographic systems will be in danger. Therefore, we need to modify the methods of cryptography in Quantum-Safe Cryptography. In this paper, we focus on exposing the vulnerabilities of existing public-key cryptosystems faced with quantum attacks and the direction of the post-quantum cryptographic (PQC) algorithm in securing the underlain infrastructure. The paper discusses ongoing efforts to standardize cryptosystems led by the National Institute of Standards and Technology (NIST). It overviews several quantum-resistant cryptographic techniques: lattice-based, hash-based, and code-based examples. Moreover, the paper also outlines difficulties in implementing quantum-safe cryptography solutions into currently in-place cybersecurity frameworks, especially in the finance, healthcare, and critical infrastructure industries.
The emergence of quantum computing poses a serious threat to traditional communication systems, endangering the security of digital communications and critical infrastructure. Although existing cryptographic algorithms (such as RSA and ECC) rely on the inefficiency of computing large numbers or solving logarithm inequality problems, quantum algorithms (especially Shor's algorithm) can solve these problems efficiently. To mitigate this threat, the field of post-quantum cryptography (PQC) has emerged and focuses on developing cryptographic systems that are resilient to quantum attacks. The main techniques in PQC include lattice-based, hash-based, code-based, and multivariate polynomial cryptography. Lattice-based cryptography is the leading contender, providing high security and supporting good properties such as fully homomorphic encryption, but facing issues related to size and computational efficiency. Hash-based encryption enables strong digital signatures but has limitations. Code-based encryption based on error-correcting codes provides proof of security but requires small size. Multivariate polynomial cryptography has good performance but has drawbacks in some applications. While standardization efforts led by organizations such as NIST continue, PQC is at the forefront of protecting the digital future from the impact of quantum computing, ensuring the integrity and confidentiality of information in the post-quantum era.
The rapid advancement of quantum computing introduces a critical threat to established cryptographic systems, such as RSA and ECC, by enabling quantum attacks those classical systems cannot withstand. This evolving threat creates a necessity for post-quantum cryptographic (PQC) algorithms to ensure secure data transmission in the quantum era. PQC encompasses diverse approaches, including lattice-based, hash-based, code-based, and multivariate polynomial cryptography. Each category offers distinct advantages and challenges: lattice-based algorithms provide robust security but may require substantial computational resources, while hash-based approaches are easier to implement but limited in flexibility. Code-based algorithms deliver strong security with significant computational demand, and multivariate polynomial approaches boast efficiency, though they face scrutiny over quantum resilience. This paper evaluates these PQC algorithms in terms of their security, performance, and feasibility, identifying optimal methods to secure data transmission in a future where quantum threats are prevalent.