Smart grids offer many advantages, but they also come with some risks, especially regarding network security and privacy. This study aims to investigate the privacy and security of existing smart grid systems and to give a cross-section of the latest findings in the field of secure data aggregation and authentication for smart grids. The study focuses on addressing the challenges posed by malicious tampering and unauthorized access to metering data by exploring innovative approaches to ensure the integrity and confidentiality of data through a process termed "secure aggregate" and that the result of secure aggregations is authenticated in a manner that is both scalable and effective using Quantum Key Distribution. A software prototype has been developed to facilitate machine-to-machine authentication because this cryptographic key can be used and machine connections can be verified. This can contribute to the protection of essential infrastructure, the creation of a continuous threat detection feedback system, and the foundations of this technology are essential conditions for increasing the ability of systems to authenticate users.
Smart grids offer many advantages, but they also come with some risks, especially regarding network security and privacy. This study aims to investigate the privacy and security of existing smart grid systems and to give a cross-section of the latest findings in the field of secure data aggregation and authentication for smart grids. The study focuses on addressing the challenges posed by malicious tampering and unauthorized access to metering data by exploring innovative approaches to ensure the integrity and confidentiality of data through a process termed "secure aggregate" and that the result of secure aggregations is authenticated in a manner that is both scalable and effective using Quantum Key Distribution. A software prototype has been developed to facilitate machine-to-machine authentication because this cryptographic key can be used and machine connections can be verified. This can contribute to the protection of essential infrastructure, the creation of a continuous threat detection feedback system, and the foundations of this technology are essential conditions for increasing the ability of systems to authenticate users.
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.
Smart grid solutions enable utilities and customers to better monitor and control energy use via information and communications technology. Information technology is intended to improve the future electric grid's reliability, efficiency, and sustainability by implementing advanced monitoring and control systems. However, leveraging modern communications systems also makes the grid vulnerable to cyberattacks. Here we report the first use of quantum key distribution (QKD) keys in the authentication of smart grid communications. In particular, we make such demonstration on a deployed electric utility fiber network. The developed method was prototyped in a software package to manage and utilize cryptographic keys to authenticate machine-to-machine communications used for supervisory control and data acquisition (SCADA). This demonstration showcases the feasibility of using QKD to improve the security of critical infrastructure, including future distributed energy resources (DERs), such as energy storage.
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.
Protection of information achieves keeping confidentiality, integrity, and availability of the data. These features are essential for the proper operation of modern industrial technologies, like Smart Grid. The complex grid system integrates many electronic devices that provide an efficient way of exploiting the power systems but cause many problems due to their vulnerabilities to attacks. The aim of the work is to propose a solution to the privacy problem in Smart Grid communication network between the customers and Control center. It consists in using the relatively new cryptographic task - quantum key distribution (QKD). The solution is based on choosing an appropriate quantum key distribution method out of all the conventional ones by performing an assessment in terms of several parameters. The parameters are: key rate, operating distances, resources, and trustworthiness of the devices involved. Accordingly, we discuss an answer to the privacy problem of the SG network with regard to both security and resource economy.
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 development of Smart Grids (SGs) is a current trend and an indispensable essential living requirement. Due to economic development and improved quality of life, electricity demand has rapidly increased. However, the power grids in major cities have become outdated, leading to uneven power distribution and frequent power outages. SGs can adjust distribution strategies based on consumers’ real-time electricity demands, which requires continuous transmission of consumer electricity data within the grid. If the privacy and security of these data cannot be ensured, consumers’ habits will be exposed, and unnecessary waste may occur. In this article, we propose a key distribution process based on QKD, enabling entities within the SG to encrypt and authenticate each other’s data, ensuring the security and privacy of communication channels and transmitted data.