Securing communications between smart grids and real users; providing a methodology based on user authentication

Chen, Tiansheng; Wang, Guijie

doi:10.1016/j.egyr.2021.08.125

Cited by 10 publications

(4 citation statements)

References 60 publications

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“…According to the results, the suggested solution reduced the detection time (4.67 s) without raising the end-user overload. Two-way authentication between the smart meter and the power-company security associate was the suggested approach by Chen et al [48]. The suggested technique assessed how cyberattacks on the smart grid behaved.…”

Section: Detectionmentioning

confidence: 99%

Insights into Cybercrime Detection and Response: A Review of Time Factor

Taherdoost

2024

Information

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Amidst an unprecedented period of technological progress, incorporating digital platforms into diverse domains of existence has become indispensable, fundamentally altering the operational processes of governments, businesses, and individuals. Nevertheless, the swift process of digitization has concurrently led to the emergence of cybercrime, which takes advantage of weaknesses in interconnected systems. The growing dependence of society on digital communication, commerce, and information sharing has led to the exploitation of these platforms by malicious actors for hacking, identity theft, ransomware, and phishing attacks. With the growing dependence of organizations, businesses, and individuals on digital platforms for information exchange, commerce, and communication, malicious actors have identified the susceptibilities present in these systems and have begun to exploit them. This study examines 28 research papers focusing on intrusion detection systems (IDS), and phishing detection in particular, and how quickly responses and detections in cybersecurity may be made. We investigate various approaches and quantitative measurements to comprehend the link between reaction time and detection time and emphasize the necessity of minimizing both for improved cybersecurity. The research focuses on reducing detection and reaction times, especially for phishing attempts, to improve cybersecurity. In smart grids and automobile control networks, faster attack detection is important, and machine learning can help. It also stresses the necessity to improve protocols to address increasing cyber risks while maintaining scalability, interoperability, and resilience. Although machine-learning-based techniques have the potential for detection precision and reaction speed, obstacles still need to be addressed to attain real-time capabilities and adjust to constantly changing threats. To create effective defensive mechanisms against cyberattacks, future research topics include investigating innovative methodologies, integrating real-time threat intelligence, and encouraging collaboration.

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Section: Detectionmentioning

confidence: 99%

Insights into Cybercrime Detection and Response: A Review of Time Factor

Taherdoost

2024

Information

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“…Furthermore, the proposed scheme can also be secure under Random Oracle Model (ROM). In [109], researchers have developed a key management scheme based on ECC to mitigate MITM and re-transmission attacks between smart meters and power companies (outside the HAN). The results revealed that the false factor is directly proportional to detection time.…”

Section: ) Cyber-security For Communication Channel Attacksmentioning

confidence: 99%

A Comprehensive Review on Cyber-Attacks in Power Systems: Impact Analysis, Detection, and Cyber Security

Tatipatri,

Arun

2024

IEEE Access

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Continuous communication and information technology advancements facilitate the modernization of the conventional energy grid into an integrated platform. Internet-of-Things (IoT) incorporates power systems, particularly smart grid features and the delivery of new services from the utility side to the end user over a two-way communication channel. However, severe security vulnerabilities have been created due to over-dependency on IoT based communication systems. In addition, critical information exchange between any two entities or devices is always an appealing target for cyber-attackers, especially with financial interest motive by damaging integrity, confidentiality and authenticity in a communication channel. Maintaining data security and preserving privacy in between two entities during the transmission or any data distribution are essential. The potential attacks and impacts of those attacks need to be investigated to develop an effective cyber security infrastructure. Thus, considerable researchers focused on detection and mitigation of these vulnerable cyber-attacks using advanced computation tools. This review article thoroughly investigated possible ways to address cyber security challenges such as smart meter security, end-users privacy, electricity theft cyber-attacks using blockchain and cryptography against communication attacks in smart grid. The operational impacts of cyber-attacks on power system security, as well as the economic impact on deregulated energy markets, have been extensively explored. In addition, the robustness of security features and cryptographic methods against various cyber-attacks is investigated to suggest unexplored cyber-attacks for future scope. Specially, the study of real-world cyber security events, case studies, new findings and new scopes in diverse power industries are carried out. More than 135 research articles has been examined for this review article. This paper mainly concentrates on distribution-side cyberattacks with impact analysis, detection and protection techniques.

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“…Based on the distribution and demand side management of SGs, as well as the classification of SG technologies (i.e., communication technology, information provision, computing intelligence, and cybersecurity in Figure 1), the related works on the applications of SGs using various techniques are classified in Table 1. Neural networks [10,11,21], smart meters [12][13][14]22], and artificial intelligence [15] were adopted for power control; cyberphysical systems [18,23,24], big data [16,19,25], machine learning [17,18,26], AI [20,27] were adopted for demand side management, and network security [28][29][30][31][32] was used for communication and information transmission. All of them were implemented in smart manufacturing applications.…”

Section: Smart Manufacturing Using Distribution and Demand Side Manag...mentioning

confidence: 99%

“…Two-way authentication mechanisms play a vital role in ensuring the security of information exchanges between the SG and users [29]. Additionally, assessing system risks within the physical infrastructure of SG networks [30,31] is an integral part of maintaining their robustness and security.…”

Section: Smart Manufacturing Using Distribution and Demand Side Manag...mentioning

confidence: 99%

A Survey on Recent Applications of Artificial Intelligence and Optimization for Smart Grids in Smart Manufacturing

Hsu,

Jiang,

Lin

2023

Energies

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To enable highly automated manufacturing and net-zero carbon emissions, manufacturers have invested heavily in smart manufacturing. Sustainable and smart manufacturing involves improving the efficiency and environmental sustainability of various manufacturing operations such as resource allocation, data collecting and monitoring, and process control. Recently, a lot of artificial intelligence and optimization applications based on smart grid systems have improved the energy usage efficiency in various manufacturing operations. Therefore, this survey collects recent works on applications of artificial intelligence and optimization for smart grids in smart manufacturing and analyzes their features, requirements, and challenges. In addition, potential trends and further challenges for the integration of smart grids with renewable energies for smart manufacturing, applications of 5G and B5G (beyond 5G) technologies in the SG system, and next-generation smart manufacturing systems are discussed to provide references for further research.

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Securing communications between smart grids and real users; providing a methodology based on user authentication

Cited by 10 publications

References 60 publications

Insights into Cybercrime Detection and Response: A Review of Time Factor

Insights into Cybercrime Detection and Response: A Review of Time Factor

A Comprehensive Review on Cyber-Attacks in Power Systems: Impact Analysis, Detection, and Cyber Security

A Survey on Recent Applications of Artificial Intelligence and Optimization for Smart Grids in Smart Manufacturing

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