A Research About Trustworthiness Metric Method of SaaS Services Based on AHP

Gao, Tilei; Li, Tong; Jiang, Rong; Duan, Ren; Zhu, Rui; Yang, Ming

doi:10.1007/978-3-030-00006-6_18

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…To elaborate on the advantages and disadvantages of the proposed method in this article, we selected three typical risk assessment and prediction methods for comparison. These three methods are the AHP method [45], the RPN method [46], and the Markov Chain based method [38]. The content of the comparison includes the functionality, objectivity, universality, ease of use and cost of use of the method, and these five dimensions are compared.…”

Section: Methods Comparisonmentioning

confidence: 99%

Regional Healthcare Risk Analysis and Assessment Method

Li,

Xu,

Gao

2024

Preprint

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One of the main methods for conducting regional healthcare risk analysis and decision-making is to determine healthcare risks through the analysis of environmental, social, and other data. The existing research mainly focuses on the control and management of epidemics and disasters. Compared to post-outbreak control, research on the assessment and prediction of infectious disease risks is equally important for epidemic prevention and control. This article proposed a risk analysis and assessment method based on entropy and risk weight number. Firstly, the probability and content of regional healthcare risks based on the classical risk probability is proposed. Then, starting from the influencing factors of healthcare risks, analyze the correlation between various regional factors and the risk of malignant infectious diseases, and construct a risk assessment model and method based on information entropy theory and risk weights to achieve the assessment and prediction of regional infectious disease risks. This study is an extension of the technology of intelligent data analysis in the field of healthcare and has positive significance for the research and application of intelligent technology and theory.

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Section: Methods Comparisonmentioning

confidence: 99%

Regional Healthcare Risk Analysis and Assessment Method

Li,

Xu,

Gao

2024

Preprint

Self Cite

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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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“…We chose the trustworthiness model proposed by Tilei [48] et al as the calculation model. e calculation process is implemented regarding literature [49]. For the experimental objects (s a , s b ), (s a , s c ), (s a , s d ), and (s a , s e ) in section 5.1, the trustworthiness results of each service pair are calculated, respectively.…”

Section: Effectiveness Of the Proposed Methodmentioning

confidence: 99%

SaaS Service Combinatorial Trustworthiness Measurement Method Based on Markov Theory and Cosine Similarity

Gao

Jia

Jiang

et al. 2022

Security and Communication Networks

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With the rapid progress of information technology, cloud computing and cloud services are widely accepted and applied to all aspects of social life. In the cloud computing environment, SaaS (Software-as-a-Service) services have become the main form of software services. For SaaS services, evolutionary and iterative development methods have become the main methods of software system construction. For systems with high trustworthiness, the independent trustworthiness of each SaaS service has a great impact on the overall status. However, SaaS services with high independent trustworthiness do not always build highly trusted software systems. The combinatorial trustworthiness between SaaS services is as important as the independent trustworthiness of each SaaS service. This paper takes combinatorial trustworthiness between SaaS services as the research object. Combinatorial trustworthiness measurement method based on Markov and cosine similarity theory is proposed. The feasibility and effectiveness of the proposed method are verified through simulation experiments. Applicable scenarios, advantages, and disadvantages of the proposed method are shown through the comparison of different measurement methods. The proposed method provides theoretical and technical support for users to select SaaS services suitable for their application scenarios, build cloud service systems, and monitor the operation status of cloud service systems.

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A Research About Trustworthiness Metric Method of SaaS Services Based on AHP

Cited by 6 publications

References 8 publications

Regional Healthcare Risk Analysis and Assessment Method

Regional Healthcare Risk Analysis and Assessment Method

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

SaaS Service Combinatorial Trustworthiness Measurement Method Based on Markov Theory and Cosine Similarity

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