Security Architecture and Protocol for Trust Verifications Regarding the Integrity of Files Stored in Cloud Services

Pinheiro, Alexandre; Canedo, Edna Dias; Sousa, Rafael T. de; Albuquerque, Robson de Oliveira; Villalba, Luis Javier García; Kim, Tai-hoon

doi:10.3390/s18030753

Cited by 9 publications

(16 citation statements)

References 24 publications

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“…In addition, this study proposes a shared process to classify a CSS according to trust levels based on its behavior, this task being performed autonomously by SCs. The proposed solution improves previous work [8], minimizing its limitations, and increasing its efficiency. The main differences between this work and the one done previously [8] are the following:…”

Section: A Main Contributions Of This Studymentioning

confidence: 70%

“…The proposed solution improves previous work [8], minimizing its limitations, and increasing its efficiency. The main differences between this work and the one done previously [8] are the following:…”

Section: A Main Contributions Of This Studymentioning

confidence: 70%

“…The works described in Section II describe several Blockchain technology applications that emphasize auditing [9], [10], [17], integrity, and reliability techniques [11], [14], [15]. This work adapts a large part of these techniques that involve the use of Blockchain, but it differs from related works and previous research [8], mainly by combining Computational Trust with Blockchain and SCs to monitor, in a safe and auditable way, the integrity of files stored in the cloud and to share the experiences regarding the quality of the provided storage services.…”

Section: Integrity Auditing Of Files Stored In Cloud Storage Servicesmentioning

confidence: 99%

“…The previous related study [8] proposed an architecture that allows the periodic verification of the integrity of files stored in the cloud by third parties, but without exposing the content of these files. The referred architecture presents a protocol based on challenges that generate low and predictable network bandwidth consumption.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring File Integrity Using Blockchain and Smart Contracts

et al. 2020

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The adoption of cloud computing solutions is an established reality in government agencies and in small, medium, and large companies due to procurement easiness and the variety of available services, as well as its low cost compared to the acquisition and management of own infrastructures. Among the most used services is cloud file storage, and the security of this storage has been an essential subject of recent research, particularly customer data integrity. Thus, this article proposes a solution for the monitoring of the integrity of files stored in the cloud, based on the use of smart contracts in Blockchain Networks, symmetric encryption, and computational trust. The proposed solution consists of a protocol that provides confidentiality, decentralization, audit availability, and the secure sharing of file integrity monitoring results, without overloading the services involved, as well as an unabridged reference implementation which was used to validate the proposal. The results obtained during the validation tests have shown that the solution is feasible and faultless in detecting corrupted files. These tests also confirmed that the sharing of integrity monitoring results, coupled with the application of computational trust techniques, significantly increased the efficiency of the proposed solution.

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Section: A Main Contributions Of This Studymentioning

confidence: 70%

Section: A Main Contributions Of This Studymentioning

confidence: 70%

Section: Integrity Auditing Of Files Stored In Cloud Storage Servicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Monitoring File Integrity Using Blockchain and Smart Contracts

et al. 2020

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“…Although the topic of CC in health care has been widely discussed in the literature, existing publications mainly focus on development of single CC applications or platforms in health care [ 12 - 16 ] and development of security mechanisms for the use of CC [ 17 - 21 ]. Although some studies have tried to conceptualize CC or interpret this phenomenon for health care settings [ 4 , 22 , 23 ], they are heavily based on a general understanding of traditional health IT artifacts or mainly rely on the interpretation of CC in a common context, which leads to an insufficient or unspecific conceptual understanding of CC for health care.…”

Section: Introductionmentioning

confidence: 99%

Rethinking the Meaning of Cloud Computing for Health Care: A Taxonomic Perspective and Future Research Directions

Gao¹,

Thiebes²,

Sunyaev³

2018

J Med Internet Res

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BackgroundCloud computing is an innovative paradigm that provides users with on-demand access to a shared pool of configurable computing resources such as servers, storage, and applications. Researchers claim that information technology (IT) services delivered via the cloud computing paradigm (ie, cloud computing services) provide major benefits for health care. However, due to a mismatch between our conceptual understanding of cloud computing for health care and the actual phenomenon in practice, the meaningful use of it for the health care industry cannot always be ensured. Although some studies have tried to conceptualize cloud computing or interpret this phenomenon for health care settings, they have mainly relied on its interpretation in a common context or have been heavily based on a general understanding of traditional health IT artifacts, leading to an insufficient or unspecific conceptual understanding of cloud computing for health care.ObjectiveWe aim to generate insights into the concept of cloud computing for health IT research. We propose a taxonomy that can serve as a fundamental mechanism for organizing knowledge about cloud computing services in health care organizations to gain a deepened, specific understanding of cloud computing in health care. With the taxonomy, we focus on conceptualizing the relevant properties of cloud computing for service delivery to health care organizations and highlighting their specific meanings for health care.MethodsWe employed a 2-stage approach in developing a taxonomy of cloud computing services for health care organizations. We conducted a structured literature review and 24 semistructured expert interviews in stage 1, drawing on data from theory and practice. In stage 2, we applied a systematic approach and relied on data from stage 1 to develop and evaluate the taxonomy using 14 iterations.ResultsOur taxonomy is composed of 8 dimensions and 28 characteristics that are relevant for cloud computing services in health care organizations. By applying the taxonomy to classify existing cloud computing services identified from the literature and expert interviews, which also serves as a part of the taxonomy, we identified 7 specificities of cloud computing in health care. These specificities challenge what we have learned about cloud computing in general contexts or in traditional health IT from the previous literature. The summarized specificities suggest research opportunities and exemplary research questions for future health IT research on cloud computing.ConclusionsBy relying on perspectives from a taxonomy for cloud computing services for health care organizations, this study provides a solid conceptual cornerstone for cloud computing in health care. Moreover, the identified specificities of cloud computing and the related future research opportunities will serve as a valuable roadmap to facilitate more research into cloud computing in health care.

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