A Risk Assessment Method of Smart Grid in Cloud Computing Environment Based on Game Theory

Li, Qimeng; Lv, Pengpeng; Wang, Mengqiang; Zhang, Zhizhi; Wang, Shaoyin; Fang, Pengbo; Gao, Lifang

doi:10.1109/icccbda49378.2020.9095625

Cited by 10 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• AC -Need for Adaptive Catalogues: information security has become an essential element for organisations, but the existence of numerous different types of risk assessment methods, standards, guidelines and specifications makes it daunting for organisations to confront the task of determining the most appropriate method to meet their needs [39]. One of the problems related to risk analysis recently identified by the scientific community is, therefore, the need for adaptive catalogues that would allow greater flexibility in risk analysis [81,86]. • HA -Hierarchy and Associativity: The need for risk analyses to be able to contemplate associative and hierarchical structures is emphasised.…”

Section: Analysis Of Resultsmentioning

confidence: 99%

Towards an integrated risk analysis security framework according to a systematic analysis of existing proposals

Santos-Olmo,

Sánchez,

Rosado

et al. 2023

Front. Comput. Sci.

View full text Add to dashboard Cite

The information society depends increasingly on risk assessment and management systems as means to adequately protect its key information assets. The availability of these systems is now vital for the protection and evolution of companies. However, several factors have led to an increasing need for more accurate risk analysis approaches. These are: the speed at which technologies evolve, their global impact and the growing requirement for companies to collaborate. Risk analysis processes must consequently adapt to these new circumstances and new technological paradigms. The objective of this paper is, therefore, to present the results of an exhaustive analysis of the techniques and methods offered by the scientific community with the aim of identifying their main weaknesses and providing a new risk assessment and management process. This analysis was carried out using the systematic review protocol and found that these proposals do not fully meet these new needs. The paper also presents a summary of MARISMA, the risk analysis and management framework designed by our research group. The basis of our framework is the main existing risk standards and proposals, and it seeks to address the weaknesses found in these proposals. MARISMA is in a process of continuous improvement, as is being applied by customers in several European and American countries. It consists of a risk data management module, a methodology for its systematic application and a tool that automates the process.

show abstract

Section: Analysis Of Resultsmentioning

confidence: 99%

Towards an integrated risk analysis security framework according to a systematic analysis of existing proposals

Santos-Olmo,

Sánchez,

Rosado

et al. 2023

Front. Comput. Sci.

View full text Add to dashboard Cite

show abstract

“…Additionally, the costs of false alarms are reflected in the model. The profit of attackers and their optimal strategies is calculated under dynamic games [55]. In the experiment, it is proved that the defence capability of SG decreases as attack intensity rise.…”

Section: Countermeasures For Itmentioning

confidence: 99%

Smart grid security: Attacks and defence techniques

2022

View full text Add to dashboard Cite

The smart grid (SG) consists of three main components, that is, Information Technology (IT), Operational Technology (OT), and Advanced Metring Infrastructure (AMI). Due to the integration of these components, electricity is efficiently managed and transmitted. Over the past few years, cyberattacks on the SG have risen. Several studies are being conducted to mitigate these attacks. A survey on cyberattacks on IT, OT, and AMI is conducted. We have also identified new research challenges and explored future research directions.

show abstract

“…For application in power systems, CC is found to be advantageous for analyzing and solving the security issues. Considering this advantage, a security game assessment model is proposed in [176]. The proposed model was used for analyzing the cloud-based grid in terms of security, defense and malicious attackers.…”

Section: ) CC Service-based Electric Grid Applicationsmentioning

confidence: 99%

Intelligent Computing in Electrical Utility Industry 4.0: Concept, Key Technologies, Applications and Future Directions

et al. 2022

View full text Add to dashboard Cite

Industry 4.0 (I-4.0) is referred to as 'fourth industrial revolution' towards incorporation of artificial intelligence and digitalization of industrial systems. It is meticulously associated with the development and advancement of evolving technologies such as: Internet of Things, Cyber-Physical System, Information and Communications Technology, Enterprise Architecture, and Enterprise Integration. Power systems of today face several challenges that need to be addressed and application of these technologies can make the modern power systems become more effective, reliable, secure, and cost-effective. Therefore, a widespread analysis of I-4.0 is performed in this paper and a summary of the outcomes, future scope, and real-world application of I-4.0 on the electrical utility industry (EUI) is reported by reviewing the existing literature. This report will be helpful to the investigators interested in the area of I-4.0 and for application in EUI. INDEX TERMSDigitalization, electrical utility industry, Industry 4.0, smart grid, the Internet of Things, communication infrastructure, cyber physical system. NOMENCLATURE 13 AI Artificial Intelligence. AM Asset Management. AMI Advanced Metering Infrastructure. BAN Building Area Network. CC Cloud Computing. CPPS Cyber-Physical Power System. CPS Cyber Physical System. DL Deep Learning. DMC Data Matrix Codes. Electrical industry has no relation with the first industrial18 revolution (Industry-1.0 or I-1.0). However, the second indus-19 trial revolution (I-2.0) was initiated in the 19th century after 20 the developments in the domain of electricity. The third 21 industrial revolution (I-3.0) started in the 1970's via limited 22 automation using memory-programmable controls and com-23 puters. Recently, the fourth industrial revolution (Industry-24 4.0 or I-4.0) is taking place. I-4.0 is generally characterized 25 by the application of Information and Communication Tech-26 nologies (ICTs), Internet of Things (IoT) and Cyber-Physical 27 Systems (CPS) to the industry. Several key components of 28 I-4.0 are shown in Fig. 1. 29 Proper integration of the traditional electric power system 30 with advanced information, communication, protection and 31 control technologies is one of the important developments 32 in making the modern power systems smarter. These tech-33 nologies help in providing effective solution to the challenges 34 of automation, monitoring, optimizing, and managing each 35 component of the power system [1], [2], [3]. The environ-36 mental concerns about generating electricity using fossil fuels 37 and global warming have motivated the Electrical Utility 38 Industry (EUI) towards renewable energy sources (RES).39 The main purpose of incorporating new technologies is to 40 achieve cost-effective performance of power systems with 41 good efficiency, high reliability, better flexibility, improved 42 resiliency, and high security in the presence of demand 43 response, demand-side management, plug-in hybrid electric 44 vehicles (PHEVs), RES, and plug-in electric vehicles (...

show abstract

A Risk Assessment Method of Smart Grid in Cloud Computing Environment Based on Game Theory

Cited by 10 publications

References 9 publications

Towards an integrated risk analysis security framework according to a systematic analysis of existing proposals

Towards an integrated risk analysis security framework according to a systematic analysis of existing proposals

Smart grid security: Attacks and defence techniques

Intelligent Computing in Electrical Utility Industry 4.0: Concept, Key Technologies, Applications and Future Directions

Contact Info

Product

Resources

About