Quantitative Analysis of Opacity in Cloud Computing Systems

Zeng, Wen; Koutny, Maciej

doi:10.1109/tcc.2019.2894768

Cited by 10 publications

(4 citation statements)

References 33 publications

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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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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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“…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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“…[37] introduced a formal model to capture the dynamic workflow in the federated cloud where the entities present in the cloud system can be assigned different security levels belonging to a given security lattice, and each cloud is assigned a security level to set the confidentiality level of the cloud. [34] introduced -opacity -as a security property to analyze the workflow security after implementing security policies in the CC systems. However, none of the above papers considered the location of the users and data privacy when applying access control policy in the cloud.…”

Section: Access Control In Cloud Computingmentioning

confidence: 99%

How Location-Aware Access Control Affects User Privacy and Security in Cloud Computing Systems

Zeng¹,

Bashir²,

Wood³

et al. 2020

EAI Endorsed Transactions on Cloud Systems

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The use of cloud computing (CC) is rapidly increasing due to the demand for internet services and communications. The large number of services and data stored in the cloud creates security risks due to the dynamic movement of data, connected devices and users between various cloud environments. In this study, we will develop an innovative prototype for location-aware access control and data privacy for CC systems. We will apply location-aware access control policies to role-based access control of Cloud Foundry, and then analyze the impact on user privacy after implementing these policies. This innovation can be used to address the security risks introduced by inter-cloud use and communication, and will have significant impact in making citizen's personal data more secure.

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Quantitative Analysis of Opacity in Cloud Computing Systems

Cited by 10 publications

References 33 publications

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

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

Model‐based risk assessment evaluation

How Location-Aware Access Control Affects User Privacy and Security in Cloud Computing Systems

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