1. Introduction
The integration of blockchain technology and cloud computing has emerged as a promising innovation to address the data storage challenges in our increasingly digital world. As the volume of data continues to grow exponentially, securely storing, managing, and retrieving large files has become a critical issue. Blockchain's immutability and cryptographic security make it well-suited to ensure data integrity and trustworthiness [
1,
2]. Meanwhile, cloud computing offers scalable and cost-effective data storage solutions [
3]. However, concerns around data security and privacy exist due to the centralized nature of cloud storage [
4].
Bridging the security of blockchain with the practical data storage capacity of the cloud represents an opportunity. This study explores the complex interplay between these two transformative technologies with the goal of devising a novel solution that balances both security and scalability [
3]. We analyze existing research on blockchain and cloud computing integration to understand the methodologies and insights needed to create this hybrid paradigm [
3,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19]. We thoroughly examine pertinent literature, drawing from numerous scholarly contributions on this topic. Our exploration covers the technical dimensions of blockchain, including its service models and security frameworks, along with analyzing the performance implications when integrated with cloud data centers [
20,
21].
1.2. Discussion of challenges and limitations in the field of study
Efficiency and Scalability: Transaction efficiency and scalability are essential issues in blockchain. Adding interactions with the cloud can increase complexity and the time required to complete transactions, which can reduce efficiency. Scalability becomes a problem when handling large volumes of data from the cloud to the blockchain, leading to network congestion and longer processing times [
22,
23].
Costs and Sustainability: Implementing blockchain and cloud solutions can be costly, both in terms of infrastructure and energy consumption. Sustainability and energy efficiency are important considerations, especially at a time when the carbon footprint of blockchain is under scrutiny. Researching more energy-efficient solutions is crucial [
24].
Interoperability and Standards: Interoperability between different blockchains and cloud providers can be a problem. The lack of common standards and protocols can hinder seamless integration. Researching and developing standards to ensure smooth interaction is essential [
2].
Quantum computing resistance: With the development of quantum computing, resistance to quantum attacks becomes a concern. Blockchain and the cloud must be resilient to these emerging technological challenges [
25].
Centralization vs Decentralization: Striking the balance between centralization and decentralization is a dilemma. Some solutions may require a degree of centralization, which goes against the fundamental principles of blockchain. Finding the right balance is essential [
25,
26,
27].
1.3. Study Objectives and Motivation Behind Them
The study aims to examine and provide a comprehensive review of research that integrate Cloud and Blockchain technologies. This with the objective of explore and learn the existing ways of accomplishing a successful integration between these two technologies and large healthcare files. Therefore, to achieve this, the PRISMA methodology is used to explore and sort the papers among the databases. For this reason, the following databases were selected among others due to the relevance and amount of content that can be found in them. Scopus, Engineering village, MDPI, Elsevier, Google Scholar and IEEE were the selected databases from which the papers were extracted along this review. As a result of this overarching objective the investigation to address specific research questions (RQ):
RQ1: What is the distribution of papers across different years?
RQ2: How are the chosen papers related to the proposed keywords?
RQ3: Which of the papers explores blockchain and cloud computing as review?
RQ4: Which papers explore the blockchain-cloud computing and healthcare?
RQ5: In the current landscape of secure blockchain and cloud integration, what constitutes the primary challenges that organizations and practitioners face?
1.4. Contributions
Throughout this study, we conduct a comprehensive review of papers related to blockchain, cloud, security, and healthcare. This involved carefully selecting papers that met specific parameters established by us, from among thousands available. Our criteria for paper selection dictated that only papers released between 2017 and 2023 were considered, aimed at avoiding outdated architectures or methodologies.
The study aims to provide an extensive overview of the secure integration of blockchain technology and cloud computing in the contemporary landscape. The primary contributions of our research can be summarized as follows:
Synthesis of key findings to provide a comprehensive understanding of the current state of secure integration in the given domains. Classification based on topics and keywords.
Recommendations for future research and potential areas for improvement in the integration of blockchain technology and cloud computing for enhanced security in healthcare applications.
Analysis of emerging trends and innovative approaches in the secure integration of blockchain and cloud computing.
Explore challenges and field limitations.
2. Material and Methods
Extensive prior work exists exploring Blockchain-Cloud integration with an emphasis on security and chain integrity has been extensively explored with a hybrid blockchain architecture for Cloud Manufacturing-as-a-Service (CMaaS) platforms, emphasizing improved data storage efficiency. As mentioned previously a hybrid blockchain architecture for Cloud Manufacturing-as-a-Service platforms to improve data storage efficiency. This seminal work demonstrated the advantages of a hybrid blockchain approach for enhanced data management [
23].
Likewise, another paper explores regulatory compliance in multi-cloud blockchain deployment. By decentralizing identity, their user-centric model aimed to follow GDPR while exploiting blockchain’s security properties across interconnected clouds. Their insights advanced compliance along with unlocking blockchain’s potential [
28,
29].
Healthcare data integrity motivated new techniques like it is proposed in [
30], who proposed a blockchain-enabled bioacoustics signal authentication system for cloud-based electronic medical records. This work emphasized the importance of securing medical data through innovative authentication techniques.
Moreover, the reviews presented in papers [
2,
31], provided a comprehensive overview of blockchain technology in healthcare, emphasizing its role in ensuring data security and privacy. Their authoritative overview illuminated blockchain’s prospects and challenges, cementing foundational knowledge.
Looking beyond healthcare, [
32,
33,
34,
35,
36,
37] explored the role of blockchains and decentralized oracle networks in technology-enabled financing for sustainable infrastructure. Their focus on secure and decentralized financial transactions within a blockchain context contributed to understanding the broader applications beyond healthcare.
Additionally, studies such as Berdik D. et al. [
38] and Taghavi et al. [
33] delved into secure access frameworks and reliability models for blockchain oracles, respectively, shedding light on crucial security aspects in blockchain-enabled systems.
Collectively, this extensive research reinforces the rising significance of security and chain integrity in multi-disciplinary blockchain-cloud integration, with far-ranging potential from healthcare to finance.
2.1. PRISMA
Is an evidence-based minimum set of items for reporting in systematic reviews and meta-analyses. It primarily focuses on the reporting of reviews evaluating the effects of interventions but can also be used as a basis for reporting systematic reviews with objectives other than evaluating interventions (e.g., evaluating aetiology, prevalence, diagnosis, or prognosis) [
39]. Serving as a foundational tool for systematic reviews across various fields.
2.1.1. Why PRISMA?
Preferred Reporting Items for Systematic Reviews and Meta-Analyses -PRISMA is a valuable tool in research due to its role in enhancing the transparency, reliability, and overall quality of systematic reviews and meta-analyses. By providing a standardized reporting framework, PRISMA ensures that researchers clearly articulate their methods, from the systematic search process to study selection and data extraction. Also, offers several benefits in online training for students, educators, researchers, and readers:
Reduction of Bias: PRISMA includes guidelines that aim to reduce bias in systematic reviews. Transparent reporting helps readers assess the risk of bias in the included studies, leading to a more accurate interpretation of the evidence.
It enables self-regulated learning by providing systematic search procedures (identification, screening, eligibility, inclusion) via online platforms.
Serves as a valuable guide for postgraduate students and researchers in conducting comprehensive searches to find necessary papers.
Aids readers by offering a clear understanding of the process, enabling easy tracking of information sources through systematic review records, and simplifying the evaluation of reported systematic reviews.
Support for Evidence-Based Practice: PRISMA contributes to the production of high-quality evidence that can be used to inform evidence-based practice, clinical guidelines, and policy decisions.
2.2. Search engines and search equations
Towards the selection of the papers, various criteria and filters established by us were taken into account, aiming to separate those papers that could contain outdated information or focus on other areas of study. The first step was to formulate the search equations, which focused on the proposed keywords that are mostly related to our research questions:
"Blockchain and Cloud Storage Integration" OR "Blockchain and Cloud Computing" OR "Secure Cloud Storage with Blockchain" OR "Decentralized Cloud Storage" OR "Blockchain-Based Data Security in Cloud" OR "Blockchain for Large File Storage" OR "Blockchain and Cloud Security" OR "Cloud-Based Blockchain Applications" OR "Blockchain for Data Integrity in Cloud" OR "Cloud Exchange with Blockchain" OR "Blockchain and Supply Chain Management" OR "Blockchain in Operations and Supply Chain" OR "Blockchain and Cloud Services" OR "Blockchain in Cloud Infrastructure" OR "Blockchain-Based Cloud Services" OR "Blockchain-Based Cloud Storage Solutions."
Blockchain AND Security AND Cloud
("All Metadata": Blockchain) AND ("All Metadata": Cloud)
Blockchain and cloud and security and Healthcare
Blockchain AND oracles
The search engines used were Elsevier (ScienceDirect), Google Scholar, IEEE Xplore, and MDPI. As mentioned before only papers from 2017 onwards were selected, in the first stage, we encounter with a massive number of papers, above 23 thousand, this adding up all the 4 selected data bases. As a result of this huge number of papers we stablish criteria to separate those papers that moved away from our purpose and objective. After this first year of publish filter, we decided to remove all those scripts that talked about crypto currencies or any other topic, but secure Blockchain applied to cloud computing. After applying some other filters (
Figure 1), for further information about PRISMA check the
Appendix A, where the PRISMA for each database will be found) we ended up having over 100 papers that serve our purpose.
2.3. Incorporation and Exclusion Parameters
Studies incorporated in our comprehensive review should suggest an investigation around a secure integration of blockchain and cloud computing or suggest viable ways to connect a chain of blocks with data stored in cloud. Also, we take into account those papers that mention cloud, Blockchain and healthcare.
Table 1 provides more details about inclusion/exclusion criteria used on the papers.
3. Results
In this section, we present the outcomes of our comprehensive review focused on the integration of blockchain and cloud technologies within the healthcare domain. Our analysis, involving an exhaustive examination of over 100 selected papers, aimed to discern patterns, trends, and insights pertaining to the current landscape of blockchain-cloud secure integration in managing large healthcare files.
The results presented herein are encapsulated through a series of tables and graphics meticulously crafted by our team. These visual representations serve to categorize and dissect the diverse range of papers we scrutinized, shedding light on key themes, methodologies, and emerging areas of interest within the intersection of blockchain, cloud, and healthcare.
3.1. Results based on the proposed reasearch questions
RQ1: What is the distribution of papers across different years?
As shown in the
Table 2 there are no papers included before 2017 due to the lack of papers that talk about blockchain and cloud integration. Besides of the lack of papers those few papers that can be found before 2017 could have outdated data or propose solutions that nowadays are not viable because they can become obsolete. The data reveals a progressive increase in scholarly contributions over time, reaching a peak in 2022 with 23 papers. The surge in publications from 2020 onwards suggests a growing interest and heightened focus on the integration of blockchain and cloud technologies within the context of healthcare. This temporal trend underscores the contemporary relevance and evolving nature of research in this domain, showcasing the increasing importance and recognition of blockchain-cloud integration in managing large healthcare files.
RQ2: How are the chosen papers related to the proposed keywords?
During the research for papers, we encounter that the majority of the good papers were trying to go beyond a simple connection between Blockchain and cloud, they were exploring options not only to make a connection but to make it secure while keeping the integrity of the chain. As it is shown in
Table 3 most of the papers talk about security and Block-chain-Cloud or chain integrity. On the other hand, the
Figure 2 shows in percentage how the topics of the papers are distributed, based on the graph we can say that most of them speaks of blockchain-cloud security.
RQ3: Which of the papers explores blockchain and cloud computing as review?
The
Figure 2 shows the percentage that represents the application fields of the papers. It should be noted that in the graph the lowest percentage is in those papers that include healthcare. Nonetheless, we were able to find 4 papers that are reviews and have a similar focus in their research.
RQ4: Which papers explore the blockchain, cloud computing and healthcare, and what they contribute?
The presented papers enlighten the challenges, intricacies, and prospective ways for exploration in the context of integrating blockchain and cloud technologies within the healthcare domain. These scholarly works provide comprehensive insights into the intricate dynamics, outlining the nuanced difficulties associated with such integration. Additionally, they articulate potential trajectories for navigating the complex landscape of merge blockchain and cloud in healthcare settings (
Table 5).
RQ5: In the current landscape of secure blockchain and cloud integration, what con- constitute the primary challenges that organizations and practitioners face?
As it was previously mentioned there are several challenges to accomplish a secure integration between blockchain and cloud, that’s why the papers that will come up next are the most valuable for the purpose of this research. Within
Table 6 the most relevant challenges will be shown for each paper mention along the
Table 6.
4. Discussion
This comprehensive review of almost 100 recent papers provides valuable insights into the current landscape and progress of secure blockchain-cloud integration for healthcare data management. Our analysis reveals several notable themes and trajectories that warrant further discussion.
Overall, the steady increase in publications over recent years highlights the growing recognition of the potential benefits between blockchain and cloud technologies. The predominant focus on security, integration approaches, and chain integrity underscores the importance of these factors in realizing the benefits of this merger.
Our findings corroborate conclusions from previous seminal works regarding the role of blockchain in addressing vulnerabilities introduced by cloud computing through enhanced transparency, traceability, decentralization, and automation [
27]. The reviewed papers also align with earlier studies emphasizing the need to balance blockchain's security with the performance and efficiency gains enabled by the cloud [
23].
However, substantial challenges remain when it comes to practical implementation. Scalability is a persistent issue, as the volume of healthcare data continues to expand exponentially [
22]. While some proposed solutions aim to improve transaction efficiency, network congestion and lag times persist. The lack of common standards and protocols also hinders interoperability between diverse blockchain implementations and cloud providers [
2].
This review reveals a range of innovative techniques and architectures seeking to overcome these hurdles, from decentralized oracles [
33] to bioacoustics authentication mechanisms [
30]. However, regulatory uncertainties around emerging blockchain models present additional complications [
8]. More research is needed to determine optimal frameworks that comply with data protection regulations.
Looking ahead, several promising trajectories can be discerned from this review. Hybrid on-chain/off-chain architectures could help address scalability limitations [
23]. Advances in cryptography, trusted execution environments, and zero-knowledge proofs may expand privacy-preserving capabilities [
25]. And decentralized storage networks with built-in incentives could reduce reliance on third-party cloud providers [
87].
The discussion surrounding the integration of blockchain and cloud computing encompasses critical aspects as presented in the reviewed papers. In Paper [
31], emphasis is placed on the myriad architectures and models for this integration, recognizing the importance of adaptability to diverse contexts. However, Paper [
43] raises concerns regarding potential interoperability challenges stemming from this diversity.
There is a convergence of opinions between Papers [
31,
43] regarding security. Both acknowledge the significance of addressing security challenges in cloud service management and decentralized storage.
Concerning performance, Paper [
31] underscores improvements that cloud computing can offer to blockchain, while the authors of Paper [
43] pose challenges that the decentralized nature of IPFS faces, raising scalability concerns.
Papers [
53,95,96] extend the focus towards the application of blockchain in the healthcare sector. The authors of Paper [95] highlight advancements and challenges in incorporating blockchain in healthcare, emphasizing its benefits in ensuring data integrity and patient privacy. However, Paper [96] delves into the intricacy of medical procedures and large-scale data management through blockchain, highlighting potential associated costs.
In terms of costs, the authors of Paper [96] conduct an economic feasibility analysis and conclude that their proposal is practical and efficient. However, delving deeper into the economic considerations in the integration of blockchain and the cloud from the perspective of other authors would be insightful.
All papers recognize challenges in integrating blockchain and cloud computing, such as security issues, interoperability, and scalability. Identifying areas for improvement and providing recommendations for future research are consistent across [
31,
43,
53,95,96].
The categorization of blockchain into public, private, and consortium types, as discussed in [99], has implications for the design and deployment of blockchain solutions. Understanding the selection criteria for these types can provide valuable insights for practitioners and researchers, reinforcing the importance of tailoring blockchain architecture to specific use cases.
Consensus mechanisms, explored in [99], are pivotal in maintaining a fair and decentralized network. The comparison of different algorithms, such as proof of work (PoW) and Practical Byzantine Fault Tolerance (PBFT), sheds light on the trade-offs involved in selecting consensus mechanisms. This aligns with the scalability discussions in [
43,96], emphasizing the need for efficient and sustainable blockchain solutions.
The systematic review establishes a foundation for future research directions, as highlighted in [99]. The identified research gaps, coupled with the proposed future topics, can guide scholars and academics interested in advancing the field of blockchain security applications. This foresight adds depth to the ongoing discourse on the evolution of blockchain technology.
In summary, the integration of blockchain and cloud computing is a complex field presenting challenges and opportunities. There is a clear need for a balanced approach to address economic, technical, and security aspects. The dialogue among different authors provides a comprehensive insight that can guide future research towards more robust and effective solutions.
5. Conclusions
This comprehensive review aimed to examine the current landscape and state of secure integration between blockchain technology and cloud computing for managing large healthcare files. Through a systematic analysis of almost 100 recent research papers, key insights have been synthesized to provide an overview of the progress, open challenges, and future trajectories related to this merger. The study reveals a steady increase in publications on blockchain-cloud integration over the past five years, with a heavy focus on security, integration approaches, and chain integrity. While blockchain shows promise in addressing vulnerabilities introduced by centralized cloud architectures, substantial challenges persist around efficiency, scalability, interoperability, and regulatory compliance.
Nevertheless, the reviewed papers highlight innovative techniques and architectures that could help overcome these hurdles. Hybrid on-chain/off-chain designs, advances in cryptography and trusted execution environments, and decentralized storage networks represent promising pathways forward. More research is still needed to optimize solutions that balance scalability and efficiency with the security and privacy assurances of blockchain technology. Our analysis outlines key challenges and opportunities that can inform future research and development in this domain. Overall, the integration of these technologies shows considerable potential, but ongoing work is required to enable the practical realization of secure, decentralized, and performant systems for healthcare data management. This review provides a foundation and reference point to guide progression in this emergent field. Through a comprehensive analysis of scholarly literature, we reviewed the contemporary landscape regarding blockchain-cloud convergence. In these conclusive remarks, we synthesize principal discoveries from across pertinent papers to highlight prevailing limitations, research gaps, and progress thus far. The intention underpinning these closures aims not to prescribe definitive solutions but rather survey the issues at hand to guide future advancement towards impactful integration for transformed clinical data practices. The paragraphs that follow encapsulate key conclusions and takeaways within this vital pursuit. That’s why the following conclusions are proposed:
This comprehensive review highlights the growing interest and importance of integrating blockchain and cloud technologies for securing large healthcare files. The number of relevant publications on this topic has steadily increased since 2017, peaking in 2022, indicating rising scholarly attention. Most examined papers emphasize the need for enhanced security, exploring blockchain's potential to ensure integrity and traceability of medical records, while leveraging the storage capacity and efficiency of the cloud.
Analysis of the literature reveals pressing challenges that still need to be addressed, including efficiency, scalability, costs, interoperability, quantum computing resistance, and balancing centralization with decentralization. Overcoming these limitations is crucial for fully realizing the potential of blockchain-cloud integration.
This review serves as a launch pad for scholars and practitioners seeking to further develop the secure convergence of blockchain and cloud computing in healthcare settings. By highlighting accomplishments thus far, and exposing knowledge gaps, it provides a foundation to build upon through continued exploration of this promising integration.
While progress has been made, as evidenced by some proposed techniques and models, there remain unanswered questions and ample room for innovation. More research is still required, especially surrounding standards, incentives, and sustainability of blockchain-enabled cloud systems managing large medical data.
Author Contributions
This review study has the following individual contributions: Conceptualization, LJRL and DM; methodology, LJRL, LHM; software, DM, LHM and AC; validation, LJRL and WR; formal analysis, LJRL and DM; research, LJRL, DM, LHM, AC and WR; resources, LJRL, DM, LHM, AC and WR; data curation, LJRL, DM and LHM; writing—original draft preparation, DM, and LHM; writing: review and editing, LJRL and DM; visualization, LJRL and LHM; supervision, LJRL; project management, LJRL and WR; acquisition financing, LJRL, DM, LHM, AC and WR. All authors have read and accepted the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
no new data were created.
Acknowledgments
The authors acknowledge Universidad El Bosque for support and access to scientific databases.
Conflicts of Interest
The authors declare no conflicts of interest.
Appendix A
Figure A1.
Flowchart for selected papers on Elsevier (ScienceDirect).
Figure A1.
Flowchart for selected papers on Elsevier (ScienceDirect).
Figure A2.
Flowchart for selected papers on Google scholar .
Figure A2.
Flowchart for selected papers on Google scholar .
Figure A3.
Flowchart for selected papers on IEEE.
Figure A3.
Flowchart for selected papers on IEEE.
Figure A4.
Flowchart for selected papers on MDPI.
Figure A4.
Flowchart for selected papers on MDPI.
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