Identification of trustworthy cloud services: solution approaches and research directions to build an automated cloud broker

Marimuthu, Mudaray; Akilandeswari, J.; Raj, Pethuru

doi:10.1007/s00607-021-01015-8

Cited by 11 publications

(2 citation statements)

References 42 publications

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“…With the development of mobile cloud computing, cloud computing has been greatly expanded in its application range. In this mode, application clients can get rid of the constraints of time and space and use mobile device terminals and wireless networks to access rich cloud resources [4]. In the traditional mobile computer environment in the past, users had to perform related data processing and analysis, data storage, and data-intensive computing on mobile devices.…”

Section: Introductionmentioning

confidence: 99%

A Collaborative Detection Method of Wireless Mobile Network Intrusion Based on Cloud Computing

Wang

2022

Wireless Communications and Mobile Computing

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In order to improve the communication security of wireless mobile network, a collaborative intrusion detection method based on cloud computing is studied. The mobile terminal and the cloud computing platform are connected by the wireless mobile network. The cloud computing platform authentication server adopts a dual server and multifactor authentication scheme for mobile cloud computing to provide authentication services for mobile terminal users. The web server of the cloud computing platform uses the intrusion node detection protocol of the neighbor classification mechanism to provide a communication security protocol for users; Using the HMM algorithm, the intrusion detection module of the computing platform realizes the intrusion detection of wireless mobile network. Finally, using authentication service, security protocol, and intrusion detection module completes the cooperative detection of mobile network intrusion. The experimental results show that this method can realize the cooperative detection of wireless mobile network intrusion, and the detection accuracy is as high as 98%, which ensures the communication security of wireless mobile network.

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Section: Introductionmentioning

confidence: 99%

A Collaborative Detection Method of Wireless Mobile Network Intrusion Based on Cloud Computing

Wang

2022

Wireless Communications and Mobile Computing

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“…Many CSPs are available online. Therefore finding a CSP is an exhausting task for end users [1,4]. Majority of CSPs provide identical functionality, which creates the service selection problems for end users.…”

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confidence: 99%

Cloud Broker Recommendation Framework to Provide Trustworthy Cloud Services to the End User

Marimuthu¹,

Akilandeswari²,

Varasree³

et al. 2022

SCPE

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In recent years, many cloud services have become available on the Website}. Discovering suitable cloud services for the end user is incredibly complex and difficult. The cloud brokerage service is an application that aids in providing solutions for this problem. It recommends suitable cloud service providers to the end users depending on their relevant requirements. The Internet provides access to a wide variety of cloud brokers. As a result, choosing a cloud broker or service provider is both time-consuming and tedious. It is now becoming a necessity to choose a proper cloud brokerage service based on trust. Research works found in the literature address some of the issues and provide feasible solutions by proposing frameworks, optimizations and rule based algorithms. However, those works focus solely on delivering a trustworthy service to the end user through application of techniques and algorithms. There is no proper framework model in place to provide suitable and trustworthy recommended services to the users. This article provides a detailed description of the frameworks that are offered by the researchers, including issues and proposes a trustworthy recommendation framework (TRF) to provide trustworthy services to the end user. This article also presents a Trustworthy Recommended Weighted value (TRWv) approach for determining trustworthy services, and it is discovered that the proposed method achieves high accuracy (91.3%) when compared to similar works.

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Enhanced Cloud Virtualization Based on Offloading Dynamic Switching Scheduling Algorithm Using Optimal Time Desk Task Allocation Model

Rajkumar,

Rahuraman,

Rahul David

et al. 2024

Communications in Computer and Information Science

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Identification of trustworthy cloud services: solution approaches and research directions to build an automated cloud broker

Cited by 11 publications

References 42 publications

A Collaborative Detection Method of Wireless Mobile Network Intrusion Based on Cloud Computing

A Collaborative Detection Method of Wireless Mobile Network Intrusion Based on Cloud Computing

Cloud Broker Recommendation Framework to Provide Trustworthy Cloud Services to the End User

Enhanced Cloud Virtualization Based on Offloading Dynamic Switching Scheduling Algorithm Using Optimal Time Desk Task Allocation Model

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