FFED: a novel strategy based on fast entropy to detect attacks against trust computing in cloud

Guesmi, Houda; Kalghoum, Anwar; Ghazel, Cherif; Saı̈dane, Leı̈la Azouz

doi:10.1007/s10586-021-03233-3

Cited by 7 publications

(5 citation statements)

References 22 publications

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“…During the assessment, for the purpose of security assessment, the two methods all need to sort out the measurement indicators affecting system security and their related attributes and then adopt corresponding methods to assess these indicators. ese corresponding methods include AHP [36][37][38], information entropy [39][40][41], and trust chain [42][43][44]. In these methods, trust chain is a method which is mainly used to detect whether the system is attacked or damaged.…”

Section: Methods Comparisonmentioning

confidence: 99%

Comprehensive Assessment of Mobile Service Privacy Security Based on FAHP and D–S Theory

Yang

Gao

Jiang

et al. 2022

Wireless Communications and Mobile Computing

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As an indispensable medium for people’s daily life and communication, mobile applications provide users with a variety of services. In order to enjoy these services, users inevitably need to provide personal privacy information or authorization to application providers in the process of use. In the case of insufficient privacy security evaluation, even if users use the applications verified by the application market, their privacy security will be threatened because of their weak awareness of privacy protection. Therefore, in order to ensure the privacy security of users, this paper establishes a mobile service assessment attribute model including 3 risk categories and 11 risk indicators. Based on this model, this paper proposes a service risk weight assessment method based on FAHP (fuzzy analytical hierarchy process), defines the risk level and its trust degree from two aspects of risk frequency and risk loss, and puts forward a reasonable fusion method for different assessment results of risk level based on D–S (Dempster–Shafer) theory, so as to realize the multidimensional and multilayer assessment of mobile service risk. Finally, the case analysis shows that the method proposed in this paper is reasonable and feasible and has important value for improving the security of mobile services and managing users’ privacy information.

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Section: Methods Comparisonmentioning

confidence: 99%

Comprehensive Assessment of Mobile Service Privacy Security Based on FAHP and D–S Theory

Yang

Gao

Jiang

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

Section: B Methods Comparisonmentioning

confidence: 99%

“…Therefore, this paper compares the proposed methods with other common security assessment methods. These methods include risk uncertainty assessment method based on information entropy [28]- [30], risk weight method based on FAHP [22], [23], [51], risk level assessment method based on risk matrix [38], [39], and trust assessment method based on trust chain [40]- [42]. In order to reasonably compare the characteristics of different methods, this paper makes a comparative analysis from the following 5 aspects around input, output and assessment process of each method.…”

Section: B Methods Comparisonmentioning

confidence: 99%

The Assessment of Cloud Service Trustworthiness State Based on D-S Theory and Markov Chain

et al. 2022

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The massive cloud service market is full of various services with uneven quality. Even the services that have passed the platform detection will have unknown trustworthiness problems in the actual use process. The risk environment of the cloud service determines that its trustworthiness is random. The static trustworthiness assessment results can only reflect the cloud service trustworthiness at a certain time, not enough to reflect the real trustworthiness of the cloud service. To objectively reflect the trustworthiness of the cloud service, it is necessary to further assess the cloud service trustworthiness state and its changes on the basis of trustworthiness level measurement. To solve this problem, this paper combs the trustworthiness indicators of the cloud service, puts forward an effective assessment method of cloud service trustworthiness level based on D-S theory, and puts forward the representation method of cloud service trustworthiness state and its transition state combined with Markov chain, so as to realize the effective assess of cloud service trustworthiness state and its changes. Finally, through case analysis, it shows that the method proposed in this paper is feasible, can effectively assess the cloud service trustworthiness state and its changes, and provide users with detailed assessment results, so as to help users make reasonable service selection and trustworthiness management. This research has important research significance for ensuring the trustworthiness of the cloud service and improving the security of cloud service market.

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“…However, this single model-based assessment lacks the analysis of changes in cloud service trustworthiness. The uncertainty assessment method based on information entropy [8][9][10][11][12] is an effective method to measure the trustworthiness of cloud service. However, the assessment result of this method only describes the uncertainty of risk, and does not give an estimate for the change of service trustworthiness.…”

Section: Related Researchmentioning

confidence: 99%

Assessment Method of Cloud Service Trusted State Based on Fuzzy Entropy and Markov chain

Yang

Wang

et al. 2023

Preprint

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In the era of cloud service popularization, the trustworthiness of service is particularly important. If users cannot prevent the potential trustworthiness problem of the service during long-term use, once the trustworthiness problem occurs, it will cause significant losses. In order to objectively assess the cloud service trustworthiness, and predict its change, this paper establishes a special hierarchical model of cloud service trustworthiness attributes. This paper proposes corresponding management countermeasures around the model, defines the cloud service trustworthiness level, defines the cloud service trusted state based on fuzzy entropy and Markov chain, constructs the membership function of the cloud service trusted state, and realizes the assessment of cloud service trustworthiness and its change according to the prediction method of Markov chain. Through case analysis and method comparison, it shows that the method proposed in this paper is effective and feasible. This method can provide objective and comprehensive assessment data for the cloud service trustworthiness and its change, makes up the deficiency of fuzzy entropy assessment method. This research has important reference value and significance for the research of cloud service trustworthiness assessment.

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FFED: a novel strategy based on fast entropy to detect attacks against trust computing in cloud

Cited by 7 publications

References 22 publications

Comprehensive Assessment of Mobile Service Privacy Security Based on FAHP and D–S Theory

Comprehensive Assessment of Mobile Service Privacy Security Based on FAHP and D–S Theory

The Assessment of Cloud Service Trustworthiness State Based on D-S Theory and Markov Chain

Assessment Method of Cloud Service Trusted State Based on Fuzzy Entropy and Markov chain

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