Quantitative Analysis of Opacity in Cloud Computing Systems

Zeng, Wen; Koutny, Maciej

doi:10.1109/tcc.2019.2894768

Cited by 12 publications

(5 citation statements)

References 33 publications

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“…For the IEEE 30 transport and IEEE 118 transport, the location likelihood and normal identification dormancy of the RPCA-based proximal inclination finder are given (Zeng, 2021). As per reproduction information, the Proximal Inclination finder calculation based RPCA can recognize FDIA with a higher identification likelihood of over 95%.…”

Section: Discussionmentioning

confidence: 99%

Cybersecurity Challenges in Smart Grids: A Focus on Information Technology

Khudhair Abbas

2024

jes

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The joining of information technology into smart grids has altered the energy area, improving proficiency and maintainability. Notwithstanding, this combination additionally delivers critical cybersecurity challenges. This paper digs into the investigation of cybersecurity challenges in smart grids, especially underlining the job of information technology. One basic viewpoint analyzed in this study is the use of organized Robust Principal Component Analysis (RPCA) with the Proximal Point identifier. Through definite estimations and examinations, the paper presents a thorough outline of the RPCA-based approach's viability. It gives experiences into the computational prerequisites for carrying out this method, featuring its true capacity in identifying oddities inside smart lattice frameworks. The exploration uses genuine data from the IEEE 30 and IEEE 118 power frameworks to assess the exhibition of the RPCA-based proximal tendency locater. Results exhibit promising results, including high detection probability and diminished recognizable proof latency. In addition, the review exhibits the calculation's ability to recognize False Data Injection Attacks (FDIA) with a great ID probability surpassing 95%. Besides, trial re-enactments led for both arbitrary and assigned assault situations on the IEEE 30 and IEEE 118 power frameworks display essentially lower detection latencies. These discoveries highlight the significance and viability of utilizing RPCA-based approaches in moderating cyber security dangers inside smart framework foundations.

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Section: Discussionmentioning

confidence: 99%

Cybersecurity Challenges in Smart Grids: A Focus on Information Technology

Khudhair Abbas

2024

jes

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“…Opacity is an increasing concern in a cyber-physical system. Most of the estimation algorithms allow sharing of explicit state information with neighboring nodes, resulting in the disclosure of the state of the cyber-physical system [9,10]. (4) Privacy and Confidentiality: The security of data is an important aspect and challenge for SG.…”

Section: An Overview Of Smart Grid Security Challengesmentioning

confidence: 99%

Smart Grid Cyber Security Enhancement: Challenges and Solutions—A Review

2022

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The incorporation of communication technology with Smart Grid (SG) is proposed as an optimal solution to fulfill the requirements of the modern power system. A smart grid integrates multiple energy sources or microgrids and is supported by an extensive control and communication network using the Internet of Things (IoT) for a carbon-free, more reliable, and intelligent energy system. Along with many benefits, the system faces novel security challenges, data management, integration, and interoperability challenges. The advanced control and communication network in the smart grid is susceptible to cyber and cyber-physical threats. A lot of research has been done to improve the cyber security of the smart grid. This review aims to provide an overview of the types of cyber security threats present for smart grids with an insight into strategies to overcome the challenges. As the selection of techniques and technologies may vary according to the threats faced, therefore the adoption of researched methods is compared and discussed. As cyber-security is the greatest challenge in smart grid implementation, this review is beneficial during the planning and operation of smart grids for enhanced security.

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“…In this study, they showed the formal model of risk propagation. In references 16‐18, it was shown how modeling with Petri nets can help to analyze the information flow security in cloud computing systems. These studies did not consider the threats and risks of the systems.…”

Section: Related Workmentioning

confidence: 99%

Model‐based risk assessment evaluation

Germanos

Zeng

2022

Security and Privacy

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Risk assessment (RA) belongs to the core parts of an organizational risk management process. The primary goals of a RA are the identification, estimation and prioritization of risk(s) to organizational operations. The existing quantitative analysis of RA is focusing on the risk factors, that is, threat or vulnerability. However, the quantitative metrics of the assessment have not been formally defined and modeled yet. Consequently, it is essential to define a formal model and relevant security metrics for RA within an organization. In this study, we will use a complete lattice to analyze risk factors. Moreover, a formal model will be defined to describe the RA process. The reachability of the model will be discussed.Quantitative metrics will be defined to provide insight on the risk estimation.The model can be expressed using colored Petri nets. This study can assist chief information security officers analyze security risks in their organizations and help them balance the security budget in their organizations.

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Quantitative Analysis of Opacity in Cloud Computing Systems

Cited by 12 publications

References 33 publications

Cybersecurity Challenges in Smart Grids: A Focus on Information Technology

Cybersecurity Challenges in Smart Grids: A Focus on Information Technology

Smart Grid Cyber Security Enhancement: Challenges and Solutions—A Review

Model‐based risk assessment evaluation

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