Security and Interdependency in a Public Cloud: A Game-Theoretic Approach

Kamhoua, Charles A.; Kwiat, Luke; Kwiat, Kevin; Park, Joon Soo; Zhao, Ming; Rodrı́guez, Manuel

doi:10.1007/978-3-319-75268-6_11

Cited by 3 publications

(3 citation statements)

References 23 publications

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“…Various game methods have been developed to study the privacy strategy selection between proctors and adversaries. Kamhoua et al [21] studied the security of cloud computing participants and internal interdependence, analyzed many possible Nash equilibria, and described the adversary's motivation more accurately. In order to study heterogeneous network system and provide the optimal security detection strategy, Wu et al [22] gave the analysis of Bayesian equilibrium and robust Nash equilibrium with incomplete information and proposed a verification and calculation method for continuous kernels.…”

Section: Game Strategy Selectionmentioning

confidence: 99%

“…To further show the characteristics and advantages of our study, the related results of comparison with other works of literature are shown in Table 6. In [8,21], the participants are completely rational, but because of the participants' incomplete rationality in the implementation, the feasibility of the model is reduced. Literature [17] and literature [18] are evolutionary game models, but the process of solving the model is simple.…”

Section: Performance Comparisonmentioning

confidence: 99%

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Research on the Optimization Management of Cloud Privacy Strategy Based on Evolution Game

Sun

2020

Security and Communication Networks

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Cloud computing services have great convenience, but privacy security is a big obstacle of popularity. In the process result of privacy protection of cloud computing, it is difficult to choose the optimal strategy. In order to solve this problem, we propose a quantitative weight model of privacy information, use evolutionary game theory to establish a game model of attack protection, design the optimal protection strategy selection algorithm, and make the evolutionary stable equilibrium solution method from the limited rational constraint. In order to study the strategic dependence of the same game group, the classical dynamic replication equation is improved by using the incentive coefficient, an improved evolutionary game model of attack protection is constructed, the stability of equilibrium point is further analyzed by Jacobian matrix method, and the optimal selection strategy is obtained under different conditions. Finally, the correctness and validity of the model are verified by experiments, different strategies of the same group have the dual effects of promotion and inhibition, and the advantages of this paper are shown by comparing with other articles.

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Section: Game Strategy Selectionmentioning

confidence: 99%

Section: Performance Comparisonmentioning

confidence: 99%

Research on the Optimization Management of Cloud Privacy Strategy Based on Evolution Game

Sun

2020

Security and Communication Networks

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“…Interdependencies or interlinkages are crucial in many research domains such as physiology (Klein et al , 1986), development and inequality analysis (Chotia and Rao, 2017), power system security (Li et al , 2008), information technology security (Kamhoual et al , 2018) and finance (Diebold and Yilmaz, 2014; Härdle et al , 2016; Chan-Lau et al , 2016; Subramaniam and Prasanna, 2017; Cheah et al , 2018). Interdependency among different assets has been one key factor in the context of portfolio allocation and risk management for a long time.…”

Section: Introductionmentioning

confidence: 99%

Modelling industry interdependency dynamics in a network context

Qian

Härdle

Chen

2019

SEF

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Purpose Interdependency among industries is vital for understanding economic structures and managing industrial portfolios. However, it is hard to precisely model the interconnecting structure among industries. One of the reasons is that the interdependencies show a different pattern in tail events. This paper aims to investigate industry interdependency with the tail events. Design/methodology/approach General predictive model of Rapach et al. (2016) is extended to an interdependency model via least absolute shrinkage and selection operator quantile regression and network analysis. A dynamic network approach was applied on the Fama–French industry portfolios to study the time-varying interdependencies. Findings A denser network with heterogeneous central industries is found in tail cases. Significant interdependency varieties across time are shown under dynamic network analysis. Market volatility is identified as an influential factor of industry connectedness as well as clustering tendency under both normal and tail cases. Moreover, combining dynamic network with prediction direction information into out-of-sample industry return forecasting, a lower tail case is obtained, which gives the most accurate prediction of one-month forward returns. Finally, the Sharpe ratio criterion prefers high-centrality portfolios when tail risks are considered. Originality/value This study examines the industry portfolio interactions under the framework of network analysis and also takes into consideration tail risks. The combination of economic interpretation and statistical methodology helps in having a clear investigation of industry interdependency. Moreover, a new trading strategy based on network centrality seems profitable in our data sample.

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A Virtual Machine Protection Framework Against Compromised Hypervisor in Cloud Computing

Mahipal,

Ceronmani Sharmila

2023

Smart Innovation, Systems and Technologies

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Security and Interdependency in a Public Cloud: A Game-Theoretic Approach

Cited by 3 publications

References 23 publications

Research on the Optimization Management of Cloud Privacy Strategy Based on Evolution Game

Research on the Optimization Management of Cloud Privacy Strategy Based on Evolution Game

Modelling industry interdependency dynamics in a network context

A Virtual Machine Protection Framework Against Compromised Hypervisor in Cloud Computing

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