Fuzzy logic approach to modelling trust in cloud computing

Sule, Mary-Jane; Li, Maozhen; Taylor, Gareth; Onime, Clement

doi:10.1049/iet-cps.2017.0016

Cited by 17 publications

(7 citation statements)

References 20 publications

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“…Mary-Jane Sule et al [15] have made note as an approach that a comprehensive approach is needed in the layer system which uses fuzzy logic-based multilayer security trust model. His model is efficient enough to make betterment of in building the confidence among the clients in order to get equipped with cloud computing resources.…”

Section: Fuzzy Logic-to Improve Trust-based Computing For Clientsmentioning

confidence: 99%

Real-Time Cloud-Based Load Balance Algorithms and an Analysis

2020

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Advancement in communication technologies has also made a positive impact by increase in the computation. Cloud computing is an internet-based computational utility which has reduced the cost of computation and cutting short of larger investments. Cloud is service-oriented architecture with decentralized computation. The SWOT analysis of the cloud computing can be used virtually in every industry to improve the service delivery and improvement; in return, it improves the business. There is a need of a cloud computing system which can use the cloud for the high-performance applications, increased scalability, ability to handle sudden request traffic increase, flexibility to change when applying new topologies, business continuity with complete flexibility, and overall improvement in the cloud system performance. Various load balancing techniques are available in cloud computing which are needed to study for the development of in advent of new emerging technologies like IoT, robotics, and AI.

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Section: Fuzzy Logic-to Improve Trust-based Computing For Clientsmentioning

confidence: 99%

Real-Time Cloud-Based Load Balance Algorithms and an Analysis

2020

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“…Multi-Layer Trust Security Model (MTSM) for cloud computing using fuzzy logic approach is developed by Sule et al [9]. In this model they used three popular cloud layers: IaaS, PaaS, SaaS, which are further divided into 4 security levels: high, normal, some low and low security.…”

Section: Related Workmentioning

confidence: 99%

A Framework for Evaluating the Reusability of Software-As-A-Service Using Fuzzy Logic Approach

Deepika

Sangwan

2022

Preprint

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Cloud computing provides software and hardware resources in the form of cloud services with the help of internet. Cloud Computing is also coming forward as an efficient criterion for reuse. Software-as-a Service is one of the three types of cloud services which provides on demand software services on pay-as-you-go basis. In order to make SaaS more advantageous and to assist end users efficiently, there is a need to build a reusability model for SaaS. Reusability plays a very vital role in developing a product easily and efficiently. In this paper, we have proposed a software reusability estimation model for SaaS. We have been used Fuzzy Logic Methodology for evaluating the SaaS reusability. For this model, we used the SaaS reusability attributes i.e., Commonality, Accessibility, Availability, Customizability and Efficiency. Centroid Method is used for validating the results obtained from the proposed approach. This model evaluates the reusability of SaaS services with the required accuracy level. On the basis of experiment results, it has been proved out that machine learning techniques gives enhanced accuracy of estimation as compared to other reusability estimation techniques, found helpful and more useful for SaaS service providers as well as users.

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“…Fuzzy logic approach [52], [53], [54], [55], [56] Conceptual modelling [57], [58], [59] Realist logic analysis [60], [61], [62] Agent based modelling [63], [64], [65] Multi variate analysis [21], [66] Among the afore mentioned approaches, the fuzzy Logic approach is one of the most commonly used techniques which is used in determining the level of uncertainty to solve the problems which are too complex to be solved [67]. This approach mainly deals with fuzzy parameters, which determine the level of uncertainties in the considered parameters.…”

Section: Technique Referencesmentioning

confidence: 99%

Evaluation of societal trust on multi-hazard early warning (MHEW) mechanism: Sri Lankan context

Arachchi

Siriwardana

Amaratunga³

et al. 2021

IJDRBE

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Purpose It is significant to assess the societal trust toward the new advancements in multi-hazard early warnings (MHEW) with the focus on disaster risk reduction (DRR). Based on this, the purpose of this paper is to examine the extent of societal trust behavior along with the parameters such as mode of communication and institutions of issuing early warnings (EWs). Design/methodology/approach A field questionnaire survey was conducted to identify the extent of societal trust. This was conducted in ten selected Grama Niladari divisions in Sri Lanka based on a developed hazard matrix. The fuzzy logic approach was applied to examine the trust level of collected 323 responses obtained through this. The analysis was done based on the responses on mobile-based platforms in EW and the credibility level of the warnings received through different institutions. Findings The analyzed survey responses indicated that society has a higher extent of trust toward the EWs disseminated through mobile-based platforms. Moreover, these represent a strong positive correlation among the societal trust level and the level of importance of EW dissemination through mobile-based platforms. Further, in terms of trusted stakeholders in issuing EW alerts, Disaster Management Center, Sri Lanka Police and Media ranked the highest in the Sri Lankan context. Overall, findings were visually mapped through the causal loop diagrams (CLDs). Practical implications In enhancing the effectiveness of the existing MHEW mechanism, the policy implications could be done, based on the results obtained from this research study. These could be altered with the implementation of DRR strategies with a community focus. Originality/value The fuzzy logic approach was used in the determination of the societal decision-making on the extent of trust level. Fuzzy triangulation is mainly applied in the interpretation of the results. Further, overall parameters that determine the community trust on MHEW are represented through CLDs through system dynamics application.

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Fuzzy logic approach to modelling trust in cloud computing

Cited by 17 publications

References 20 publications

Real-Time Cloud-Based Load Balance Algorithms and an Analysis

Real-Time Cloud-Based Load Balance Algorithms and an Analysis

A Framework for Evaluating the Reusability of Software-As-A-Service Using Fuzzy Logic Approach

Evaluation of societal trust on multi-hazard early warning (MHEW) mechanism: Sri Lankan context

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