The recent advancement of smart grid systems, integrating cyber-physical systems with information and communication technologies enables real-time monitoring, control, and data transmission. However, these operations often inherently insecure communication infrastructures increasing exposure to cyber threats and data breaches. Consequently, cryptographic authenticated and key agreement protocols address cyber-attacks, threats, and vulnerabilities to protect data privacy and security in smart grid. Meanwhile, quantum computing progression is rapidly footprinted in real-world application thus quantum computing-based Grover's and Shor’s algorithm is capable for breaking classical cryptographic algorithms mathematical advances. Therefore, this review explores the adaptability of quantum computing, examines its impact on classical cryptography vulnerabilities, and highlights the role of quantum cryptography in enhancing security and scalability of smart grid cyber-physical systems. Accordingly, a comparative analysis was conducted to assess the security and performance of Rivest-Shamir Adleman, elliptic curve cryptography and digital signature algorithms against quantum cryptography for highlighting their respective strengths and limitations in quantum era context. This review provides a foundation of future researchers for integrate quantum technology and develop quantum-resilient solutions that overcome the constraints of classical cryptography.
The recent advancement of smart grid systems, integrating cyber-physical systems with information and communication technologies enables real-time monitoring, control, and data transmission. However, these operations often inherently insecure communication infrastructures increasing exposure to cyber threats and data breaches. Consequently, cryptographic authenticated and key agreement protocols address cyber-attacks, threats, and vulnerabilities to protect data privacy and security in smart grid. Meanwhile, quantum computing progression is rapidly footprinted in real-world application thus quantum computing-based Grover's and Shor’s algorithm is capable for breaking classical cryptographic algorithms mathematical advances. Therefore, this review explores the adaptability of quantum computing, examines its impact on classical cryptography vulnerabilities, and highlights the role of quantum cryptography in enhancing security and scalability of smart grid cyber-physical systems. Accordingly, a comparative analysis was conducted to assess the security and performance of Rivest-Shamir Adleman, elliptic curve cryptography and digital signature algorithms against quantum cryptography for highlighting their respective strengths and limitations in quantum era context. This review provides a foundation of future researchers for integrate quantum technology and develop quantum-resilient solutions that overcome the constraints of classical cryptography.
The Smart Grid (SG) represents the next-generation power system in the future grid infrastructure, designed for self-healing, adaptability, and sustainability. However, the interconnected and geographically dispersed nature of SG systems introduces cybersecurity risks, potentially leading to severe incidents. Cyber attacks on SG applications could result in significant events, including outages and infrastructure damage. These attacks may compromise energy data, starting with the leakage of personal information from grid members. To address these risks, confidentiality, device authentication, and data integrity are essential, traditionally implemented through public-key cryptography (PKC). The rise of quantum computers and the potential adaptation of algorithms like Shor’s poses a threat to PKC algorithms in SG communications. In response, we propose a security protocol for post-quantum communication in SG applications, ensuring resilience against classical and quantum attacks. The protocol has been tested through rigorous informal security analysis, and comparative analysis demonstrates its scalability and effectiveness in real-world scenarios.
The smart grid (SG) embodies the future of power systems, featuring self-healing mechanisms, adaptability, and sustainability. Nevertheless, its interconnected and widely distributed architecture presents substantial cybersecurity challenges, rendering it susceptible to cyber attacks that may cause outages, infrastructure failures, and data breaches, including the exposure of personal information. Public-key cryptography (PKC) has historically been utilized to ensure confidentiality, authenticate devices, and maintain data integrity. However, the rise of quantum computing poses a serious threat to the viability of these PKC algorithms, particularly with the potential implementation of algorithms such as Shor’s algorithm. To address these vulnerabilities, we propose an innovative security protocol for post-quantum communication within SG applications, engineered to resist both classical and quantum threats. Our comparative study reveals that this protocol delivers enhanced security and improved functionality while maintaining low communication and computational costs compared to existing methods. We further demonstrate its practicality through real-time testbed experiments and implementations on a Raspberry Pi, supported by an extensive security assessment using the Scyther automated validation tool. A detailed comparison with Kyber in terms of computational efficiency, storage requirements, and implementation overhead to support our lightweight claim. Finally, a network simulation conducted using Network Simulator 3 (NS3) further demonstrates the performance of the proposed scheme, highlighting its scalability and reliability.
In the modern digital era, where cyber-attacks, data breaches, and digital spying threaten global security, conventional cryptographic systems face increasing challenges. The rapid development of quantum computing has amplified these threats by undermining the security foundations of classical encryption algorithms such as RSA (Rivest–Shamir–Adleman) and ECC (Elliptic Curve Cryptography), both of which depend on the computational hardness of factorization and discrete logarithmic problems. Quantum cryptography, rooted in the principles of quantum mechanics, introduces a transformative approach that ensures theoretically unbreakable security. This paper explores the theoretical foundations, current technological developments, challenges, and future prospects of quantum cryptography. It emphasizes the transition from mathematical security to physical security, highlighting quantum key distribution (QKD), quantum random number generation, and post-quantum cryptographic frameworks. The study concludes that quantum cryptography is not merely a futuristic ideal but a necessary evolution for safeguarding the digital future in a quantum-enabled world
A smart grid network (SGN) is an advanced electrical grid system based on information and communication technology. The system uses digital technology, sensors, and two-way communication to manage electricity flow from generation to consumption, enabling real-time monitoring, efficiency, reliability, and seamless integration of renewable and electric vehicles. In the present time, SG network systems are vulnerable to cyber security attacks because these systems use sensors as well as the internet during two-way communication. So, there is a critical need of cryptosystems that can ensure the security of two-way smart grid communication. There are numerous authentication protocols proposed by researchers to protect smart grid networks (SGNs) from cyber security attacks. But, most of them are based on prime factorization and discrete logarithmic problems, which are vulnerable to quantum computing attacks. The researchers have found that lattice-based cryptographic primitives are important candidates to form cryptosystems that are hard to break even on quantum computers. The aim of this article is to find out lattice-based cryptosystems that are suitable to design the cryptographic protocols secure against quantum computing attacks. This survey provides an overview of lattice-based cryptosystems and their applications in securing SG networks.
The rapid advancements in quantum computation pose significant threats to traditional cryptographic systems, such as those used in the Internet of Things (IoT). RSA and methods like Elliptic Curve Cryptography (ECC) are particularly vulnerable to quantum algorithmic techniques, such as Shor’s and Grover’s algorithms. This paper focuses on the analysis of cryptographic models based on quantum technologies, with special emphasis on IoT security. It examines how both symmetric and public-key cryptography are affected by quantum comput-ing—highlighting vulnerabilities in symmetric schemes to Grover’s algorithm and in public-key systems like ECC to Shor’s algorithm. Significant focus is placed on the advancement of quantum-resistant ECC, with an in-depth evaluation of its effectiveness, security capabilities, and suitability for IoT applications. This work also compares various methods for implementing quantum-enhanced ECC, considering both software and hardware solutions. Furthermore, the paper explores emerging hybrid systems that integrate classical and quantum-resistant encryption to offer enhanced security in transitional scenarios. Lastly, it outlines potential research avenues for developing new techniques to protect future IoT networks from quantum-based attacks.
With the rapid advancement regarding quantum computing, traditional cryptographic systems face an existential threat because of their reliance concerning mathematical challenges which may be addressed effectively solved using quantum algorithms like the one developed by Shor. This imminent risk has driven extensive research into quantum-resistant cryptography (PQC), that seeks to develop encryption methods resilient against attacks powered by quantum computing. This study offers a thorough literature survey on high-level security techniques in quantum security for PQC, analysing past and current research efforts in this domain. We first examine the vulnerabilities of classical cryptographic protocols, including public-key encryption methods such as RSA (developed by Rivest, Shamir, and Adleman) and ECC (which uses elliptic curve mathematics), and traditional cryptographic hashing methods, against quantum adversaries. The study then explores the foundational approaches to quantum-secure cryptography, including lattice-based, hash-based, multivariate polynomial, code-based, and isogeny-based encryption methods that possess emerged as promising candidates for standardization. The survey highlights key challenges in the real-world application of PQC, including performance trade-offs, key size overhead, and deployment complexities. We conclude by identifying future research directions during the creation of scalable, efficient, and provably secure cryptographic methods designed to withstand quantum attacks techniques. As the shift toward the quantum-resilient era approaches, this survey aims to provide a clear and structured comprehension of the evolving the domain of quantum security for PQC.