Enhancing Cloud-Based IoT Security Through Trustworthy Cloud Service: An Integration of Security and Reputation Approach

Li, Xiang; Wang, Qixu; Lan, Xiao; Chen, Xingshu; Zhang, Ning; Chen, Dajiang

doi:10.1109/access.2018.2890432

Cited by 94 publications

(37 citation statements)

References 40 publications

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“…On the other hand, cloud computing has protruded and it provides huge storage and gives opportunities for data sharing [52]. The merging of the cloud with the IoT can produce new and many opportunities for both technologies [53]. These technologies may unfold a new horizon of service sharing, the interconnection among the devices, ubiquitous sensing, and provides better cooperation and communication between the people and the things in a more dynamic and distributed performance [54].…”

Section: Iot Voice Pathologymentioning

confidence: 99%

A Survey of Voice Pathology Surveillance Systems Based on Internet of Things and Machine Learning Algorithms

et al. 2020

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The incorporation of the cloud technology with the Internet of Things (IoT) is significant in order to obtain better performance for a seamless, continuous, and ubiquitous framework. IoT has many applications in the healthcare sector, one of these applications is voice pathology monitoring. Unfortunately, voice pathology has not gained much attention, where there is an urgent need in this area due to the shortage of research and diagnosis of lethal diseases. Most of the researchers are focusing on the voice pathology and their finding is only to differentiating either the voice is normal (healthy) or pathological voice, where there is a lack of the current studies for detecting a certain disease such as laryngeal cancer. In this paper, we present an extensive review of the state-of-the-art techniques and studies of IoT frameworks and machine learning algorithms used in the healthcare in general and in the voice pathology surveillance systems in particular. Furthermore, this paper also presents applications, challenges and key issues of both IoT and machine learning algorithms in the healthcare. Finally, this paper highlights some open issues of IoT in healthcare that warrant further research and investigation in order to present an easy, comfortable and effective diagnosis and treatment of disease for both patients and doctors.

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Section: Iot Voice Pathologymentioning

confidence: 99%

A Survey of Voice Pathology Surveillance Systems Based on Internet of Things and Machine Learning Algorithms

et al. 2020

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“…For encryption, attribute-based encryption (ABE) is evaluated to improve the performance of the system. Security and reputation are addressed by Li et al 23 to provide trustworthy in cloud service by introducing the trust assessment method. The assessment is based on two approaches they are security and reputation for cloud services.…”

Section: Related Workmentioning

confidence: 99%

Replication‐aware secure resource administration scheme for Internet of Things‐smart city applications

Solami

2021

Trans Emerging Tel Tech

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The distributed and heterogeneous nature of the Internet of Things (IoT) paradigm provides backhauled support for different smart-city applications. As it provides ubiquitous access to resources and replicated services, the threat for security remains firm for different applications. The concept of cybersecurity in the IoT-smart-city combination grants promising outcomes in securing the physical and service-centric resources from external threats. This article proposes to improve the protection of the IoT services in smart-city applications using replication-aware secure resource administration scheme framework. In a smart city application, which involves a cloud, based network, IoT platform, and distributed sensor networks guarantees differentiated protection mechanisms for replicated and non-replicated infrastructure. Instantly revocable security activities are used to prevent unintended attacks to the original resource supplier from monitoring non-replicated services. For this purpose, Naïve Bayes' diffusion approach is used to continuously evaluate the likelihood of disclosure of the repeated and unreplicated properties. The hazard and level of exposure for which prompted protection is assessed using the recommendations of the delivery system. The promptness of the security outcome is based on re-formulating permission delegations, security checks, and so on. This helps to leverage the security level of the available resources irrespective of the impact of the external threats. Besides, the proposed scheme improves the lifetime of the services with controlled overhead and service failures.

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“…In this context, a number of security issues have arisen. So far, a novel trust evaluation framework for cloud services has been proposed by Li et al [77]. STARF framework integrates reputation and security features.…”

Section: Proposed Integrations With Other Technologies Articlesmentioning

confidence: 99%

“…In addition, SeTA (Security based Trust Assessment) method has been introduced to unify the safety metrics in trust evaluation. Also, Li et al [77] have proposed ReTA (Reputation-based Trust Assessment) method to enhance the reliability and position of the feedback rating based reputation evaluation model. To evaluate the total reliability of cloud services, InTA (Integrated Trust Assessment) has been proposed to illustrate the potential combination of SeTA and ReTA.…”

Section: Proposed Integrations With Other Technologies Articlesmentioning

confidence: 99%

Integration of Internet of Things and cloud computing: a systematic survey

et al. 2020

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Enhancing Cloud-Based IoT Security Through Trustworthy Cloud Service: An Integration of Security and Reputation Approach

Cited by 94 publications

References 40 publications

A Survey of Voice Pathology Surveillance Systems Based on Internet of Things and Machine Learning Algorithms

A Survey of Voice Pathology Surveillance Systems Based on Internet of Things and Machine Learning Algorithms

Replication‐aware secure resource administration scheme for Internet of Things‐smart city applications

Integration of Internet of Things and cloud computing: a systematic survey

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