The advancements of smart grid embedded Internet of things for monitor, control and collection of energy data from smart meter to data aggregator points. In this aspect two-way smart meter current challenges of data privacy and cyber-security concerns. To overcome these constraints numerous authenticated key agreements schemes considered to enhances performances and security. However, high latency and heavy cryptographic operation entails time and bits overheads. Moreover, quantum computing can break the classical encryption techniques and mathematical barriers of cyber defensive properties. Therefore, proposed quantum key distribution ensemble Paillier cryptosystem for maintains privacy-preserving and securing of smart metering infrastructures. The details security analysis showed proposed protocol can resistance various cyber-attacks with quantum computing threats. Furthermore, performances assessments based on extensive simulation of computation time and bits proposed protocols are leading position from existing schemes. Thus, the novel proposed key distribution enables efficiency, security, and data privacy which is emerging notions for the smart metering infrastructures.
The advancements of smart grid embedded Internet of things for monitor, control and collection of energy data from smart meter to data aggregator points. In this aspect two-way smart meter current challenges of data privacy and cyber-security concerns. To overcome these constraints numerous authenticated key agreements schemes considered to enhances performances and security. However, high latency and heavy cryptographic operation entails time and bits overheads. Moreover, quantum computing can break the classical encryption techniques and mathematical barriers of cyber defensive properties. Therefore, proposed quantum key distribution ensemble Paillier cryptosystem for maintains privacy-preserving and securing of smart metering infrastructures. The details security analysis showed proposed protocol can resistance various cyber-attacks with quantum computing threats. Furthermore, performances assessments based on extensive simulation of computation time and bits proposed protocols are leading position from existing schemes. Thus, the novel proposed key distribution enables efficiency, security, and data privacy which is emerging notions for the smart metering infrastructures.
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.
Smart grids, steering an energy revolution through smart metering infrastructure, face cybersecurity threats and unauthorized access risks. Within these systems, classical authentication protocols validate identities, fostering trust and enabling access to authorized resources, while preventing unauthorized access. However, classical authentication protocols are predominantly dependent on public-key cryptography, rooted in computational hard problems such as integer factorization and discrete logs to uphold security. Nevertheless, these computational hard problems can be easily compromised by quantum adversaries. Furthermore, quantum-resistant smart meter authentication protocols are either deemed impractical or reliant on quantum hard problems, potentially lacking future-proof security. Moreover, maintaining SG entity privacy holds equal significance. Consequently, this article introduces the Quantum-Secure Privacy-Preserving Smart Meter Authentication (Q-Secure-P2-SMA) protocol. It utilizes semi-quantum key distribution and a hash function to facilitate quantum-resistant metering data communication, with a focus on privacy and practicality. The security analysis and performance evaluation conducted for Q-Secure-P2-SMA confirm its resilience against well-known security threats, showcasing improved efficiency compared to existing state-of-art-protocols across computation, communication, and energy overhead. Notably, the Q-Secure-P2-SMA doesn’t necessitate quantum capability among all SG entities, making it more practical and relevant in real-world scenarios.
Abstract Entity authentication and key exchange are fundamental prerequisites for ensuring the security of various emerging smart networks. However, most existing classical schemes are vulnerable to attacks from quantum computers. Recently, Prateek et al proposed a privacy-preserving mutual authentication scheme for smart metering infrastructure in smart grids. The authors claimed that their scheme is unconditionally secure and could resist various known security attacks, including impersonation attacks, eavesdropping attacks, and replay attacks. However, in this article, we demonstrate that there are serious security flaws in the proposed scheme. First, the scheme fails to ensure that two legitimate parties can reliably share a common session key, leading to a potential authentication failure. Second, an eavesdropper can exploit entangle-measure attacks to obtain partial information about the shared session key. Additionally, due to the inherent randomness of quantum measurements, the session key shared between two entities in each session is unpredictable. Consequently, the session keys distributed across different sessions may not be identical, further contributing to authentication failure. Finally, we provide an improvement to address these security flaws while preserving the original scheme’s advantageous features.
Industry 4.0 allows faster data accessibility, improved performance, fault identification, and remote control of machines within any smart factory. Due to the massive generation of delay-sensitive data, this system demands a robust security mechanism against security threats. In order to mitigate such potential attacks and provide security-free services, this article proposes an edge-based conditional privacy-preserving authentication scheme based on quantum key distribution protocol for secure authentication and secure communication within smart grid infrastructure. Apart from guaranteeing security against threats such as node impersonation, message tampering, and repudiation, the scheme also defends man-in-the-middle attacks, replay attacks, etc. We validate the proposed protocol through a simulation study. The result indicates that it performs reasonably well and enables unconditional security for the data exchanged between entities of smart grid infrastructure.
The Internet of Things and Quantum Computing raise concerns, as Quantum IoT defines security that exploits quantum security management in IoT. The security of IoT is a significant concern for ensuring secure communications that must be appropriately protected to address key distribution challenges and ensure high security during data transmission. Therefore, in the critical context of IoT environments, secure data aggregation can provide access privileges for accessing network services. "Most data aggregation schemes achieve high computational efficiency; however, the cryptography mechanism faces challenges in finding a solution for the expected security desecration, especially with the advent of quantum computers utilizing public-key cryptosystems despite these limitations. In this paper, the Secure Data Aggregation using Quantum Key Management scheme, named SDA-QKM, employs public-key encryption to enhance the security level of data aggregation. The proposed system introduces traceability and stability checks for the keys to detect adversaries during the data aggregation process, providing efficient security and reducing authentication costs. Here the performance has been evaluated by comparing it with existing competing schemes in terms of data aggregation. The results demonstrate that SDA-QKM offers a robust security analysis against various threats, protecting privacy, authentication, and computation efficiency at a lower computational cost and communication overhead than existing systems.
The rapid proliferation of Internet of Things devices (IoT) across healthcare, smart homes, transportation, and industrial automation has led to an unprecedented exchange of sensitive data over wireless channels, exposing these networks to cyberattacks, eavesdropping, and unauthorized access.Conventional cryptographic techniques, which rely on computational hardness assumptions, are increasingly vulnerable to the emerging capabilities of quantum computing.This paper explores the application of Quantum Key Distribution (QKD) as a means of enabling secure and dependable data communication for IoT devices.By exploiting the fundamental principles of quantum mechanics, QKD allows two communicating parties to generate a shared secret key while inherently detecting any attempt at interception.The proposed approach aims to enhance data privacy, ensure secure authentication, preserve confidentiality, and safeguard IoT systems against present and future quantum enabled threats.The integration of quantum based security techniques into existing IoT infrastructure is examined, along with its implications for improving the reliability and trustworthiness of wireless IoT communication systems.This work positions Quantum Enhanced Secure Data Communication as a forward looking security solution for next generation IoT networks.