Cripto-Nube: integración de computación en la nube y blockchain en sectores empresariales: Systematic Literature Review
DOI:
https://doi.org/10.56124/encriptar.v8i15.013Palabras clave:
Cripto-Nube, Blockchain, Computación en la Nube, Escalabilidad, SeguridadResumen
Esta investigación analiza la convergencia de la computación en la nube y blockchain, denominada en esta investigación como "Cripto-Nube", y su impacto en los entornos empresariales. La combinación de estas tecnologías ofrece mejoras en seguridad, transparencia y cumplimiento de normativas, como el Reglamento General de Protección de Datos (GDPR). Además, introduce innovaciones como las redes definidas por software (SDN) y la computación en la niebla y en el borde, que optimizan la eficiencia y el procesamiento de datos en tiempo real. El estudio utilizó la metodología PRISMA para realizar una revisión sistemática de la literatura. Las preguntas de investigación se centraron en cómo la integración de blockchain y la computación en la nube mejora los entornos empresariales, cuáles son las mejores prácticas para su implementación y las dificultades asociadas. Entre los beneficios identificados se encuentran la mejora en la seguridad, la trazabilidad y la gestión de datos en sectores como la agricultura, la manufactura, las finanzas y las cadenas de suministro. Las mejores prácticas incluyen el uso de arquitecturas híbridas que combinan blockchain con computación en la niebla y el borde para optimizar el rendimiento. Sin embargo, se destacaron desafíos como la latencia y el bloqueo de proveedor, que complican la implementación de servicios basados en blockchain y computación en la nube. Finalmente, Cripto-Nube puede transformar los entornos empresariales, mejorando la competitividad y la eficiencia de las operaciones. Este trabajo ofrece una base para investigaciones futuras que deseen explorar cómo implementar y optimizar esta convergencia tecnológica en diversos sectores empresariales.
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Abad-Segura, E., Infante-Moro, A., González-Zamar, M.-D., & López-Meneses, E. (2024). Influential factors for a secure perception of accounting management with blockchain technology. Journal of Open Innovation Technology Market and Complexity, 10(2), 100264. https://doi.org/10.1016/j.joitmc.2024.100264
Abrahams, T. O., Ewuga, S. K., Kaggwa, S., Uwaoma, P. U., Hassan, A. O., & Dawodu, S. O. (2024). Mastering compliance: A comprehensive review of regulatory frameworks in accounting and cybersecurity. Computer Science & IT Research Journal, 5(1), 120–140. https://doi.org/10.51594/csitrj.v5i1.709
Ahmad, H., & Aujla, G. S. (2023). GDPR compliance verification through a user-centric blockchain approach in multi-cloud environment. Computers & Electrical Engineering: An International Journal, 109(108747), 108747. https://doi.org/10.1016/j.compeleceng.2023.108747
Akter, M., Kummer, T.-F., & Yigitbasioglu, O. (2024). Looking beyond the hype: The challenges of blockchain adoption in accounting. International Journal of Accounting Information Systems, 53(100681), 100681. https://doi.org/10.1016/j.accinf.2024.100681
Bhutta, M. N. M., & Ahmad, M. (2021). Secure identification, traceability and real-time tracking of agricultural food supply during transportation using internet of things. IEEE access: practical innovations, open solutions, 9, 65660–65675. https://doi.org/10.1109/access.2021.3076373
Bin Hasan, K. M., Sajid, M., Lapina, M. A., Shahid, M., & Kotecha, K. (2024). Blockchain technology meets 6 G wireless networks: A systematic survey. Alexandria Engineering Journal, 92, 199–220. https://doi.org/10.1016/j.aej.2024.02.031
Cai, Z., Yang, G., Xu, S., Zang, C., Chen, J., Hang, P., & Yang, B. (2022). RBaaS: A robust blockchain as a service paradigm in cloud-edge collaborative environment. IEEE access: practical innovations, open solutions, 10, 35437–35444. https://doi.org/10.1109/access.2022.3161744
Cano Arévalo, L. G., Cárdenas Méndez, J. E., & Otaya Claros, L. J. (2020). Blockchain innovación como ventaja competitiva en Colombia. https://repository.ucc.edu.co/server/api/core/bitstreams/f26c5e5d-c92d-4356-9144-d1e96a0a323f/content
Corradini, F., Marcelletti, A., Morichetta, A., Polini, A., Re, B., & Tiezzi, F. (2023). A flexible approach to multi-party business process execution on blockchain. Future Generations Computer Systems: FGCS, 147, 219–234. https://doi.org/10.1016/j.future.2023.05.006
Das, R., & Inuwa, M. M. (2023). A review on fog computing: Issues, characteristics, challenges, and potential applications. Telematics and Informatics Reports, 10(100049), 100049. https://doi.org/10.1016/j.teler.2023.100049
Dhiman, P., Saini, N., Gulzar, Y., Turaev, S., Kaur, A., Nisa, K. U., & Hamid, Y. (2024). A review and comparative analysis of relevant approaches of Zero Trust network model. Sensors (Basel, Switzerland), 24(4), 1328. https://doi.org/10.3390/s24041328
Eljak, H., Ibrahim, A. O., Saeed, F., Hashem, I. A. T., Abdelmaboud, A., Syed, H. J., Abulfaraj, A. W., Ismail, M. A. B., & Elsafi, A. (2024). E-learning-based cloud computing environment: A systematic review, challenges, and opportunities. IEEE access: practical innovations, open solutions, 12, 7329–7355. https://doi.org/10.1109/access.2023.3339250
Garg, S., Kaur, K., Kaddoum, G., Garigipati, P., & Aujla, G. S. (2021). Security in IoT-driven mobile edge computing: New paradigms, challenges, and opportunities. IEEE network, 35(5), 298–305. https://doi.org/10.1109/mnet.211.2000526
Golightly, L., Modesti, P., Garcia, R., & Chang, V. (2023). Securing distributed systems: A survey on access control techniques for cloud, blockchain, IoT and SDN. Cyber Security and Applications, 1(100015), 100015. https://doi.org/10.1016/j.csa.2023.100015
Gupta, S., Kuchipudi, R., Sohail, M., Singh, K., Mahalakshmi, J., & Sarabu, A. (2024). Fake product identification for small and medium firms (FPISMF) using blockchain technology. Measurement. Sensors, 33(101164), 101164. https://doi.org/10.1016/j.measen.2024.101164
Haddouti, S. E. L., & Kettani, M. D. E.-C. E. L. (2022). A secure and trusted fog computing approach based on blockchain and identity federation for a granular access control in IoT environments. International Journal of Advanced Computer Science and Applications : IJACSA, 13(3). https://doi.org/10.14569/ijacsa.2022.0130368
Han, D., Liu, Y., Zhang, F., & Lu, Y. (2024). Game-theoretic private blockchain design in edge computing networks. Digital Communications and Networks. https://doi.org/10.1016/j.dcan.2023.12.001
He, Y., Zhou, Z., Pan, Y., Chong, F., Wu, B., Xiao, K., & Li, H. (2024). Review of data security within energy blockchain: A comprehensive analysis of storage, management, and utilization. High-Confidence Computing, 100233, 100233. https://doi.org/10.1016/j.hcc.2024.100233
Hu, S., Lin, J., Du, X., Huang, W., Lu, Z., Duan, Q., & Wu, J. (2023). ACSarF: a DRL-based adaptive consortium blockchain sharding framework for supply chain finance. Digital Communications and Networks. https://doi.org/10.1016/j.dcan.2023.11.008
Huang, Y. (2024). Smart home system using blockchain technology in green lighting environment in rural areas. Heliyon, 10(4), e26620. https://doi.org/10.1016/j.heliyon.2024.e26620
Jamshed, H., DHA Suffa University Karachi, Zahid, A., Hasan, R. U., Hussain, A., Islam, N. E., DHA Suffa University Karachi, Pakistan, DHA Suffa University Karachi, Pakistan, DHA Suffa University Karachi, Pakistan, & University Of Missouri, Colombia, USA. (2023). A review of blockchain technology in big data paradigm. Journal of Independent Studies and Research - Computing, 21(1). https://doi.org/10.31645/jisrc.23.21.1.2
Kotel, S., Sbiaa, F., Kamoun, R. M., & Hamel, L. (2023). A Blockchain-based approach for secure IoT. Procedia Computer Science, 225, 3876–3886. https://doi.org/10.1016/j.procs.2023.10.383
Li, W., Wu, J., Cao, J., Chen, N., Zhang, Q., & Buyya, R. (2021). Blockchain-based trust management in cloud computing systems: a taxonomy, review and future directions. Journal of Cloud Computing Advances Systems and Applications, 10(1). https://doi.org/10.1186/s13677-021-00247-5
Llanos, J. T., Carr, M., & Rana, O. (2023). Using the blockchain to enable transparent and auditable processing of personal data in cloud- based services: Lessons from the Privacy-Aware Cloud Ecosystems (PACE) project. Computer Law and Security Report, 51(105873), 105873. https://doi.org/10.1016/j.clsr.2023.105873
Mani, V., Prakash, M., & Lai, W. C. (2022). Cloud-based blockchain technology to identify counterfeits. Journal of Cloud Computing Advances Systems and Applications, 11(1). https://doi.org/10.1186/s13677-022-00341-2
Mannayee, V., & Ramanathan, T. (2023). An efficient SDFRM security system for blockchain based internet of things. Intelligent Automation & Soft Computing, 35(2), 1545–1563. https://doi.org/10.32604/iasc.2023.027675
Martinez-Rendon, C., González-Compeán, J. L., Sánchez-Gallegos, D. D., & Carretero, J. (2023). CD/CV: Blockchain-based schemes for continuous verifiability and traceability of IoT data for edge–fog–cloud. Information Processing & Management, 60(1), 103155. https://doi.org/10.1016/j.ipm.2022.103155
Mbaya, E. B., Adetiba, E., Badejo, J. A., Wejin, J. S., Oshin, O., Isife, O., Thakur, S. C., Moyo, S., & Adebiyi, E. F. (2023). SecFedIDM-V1: A secure federated intrusion detection model with blockchain and deep bidirectional long short-term memory network. IEEE access: practical innovations, open solutions, 11, 116011–116025. https://doi.org/10.1109/access.2023.3325992
Moslemzadeh Tehrani, P., Kotsis, G., & Rizky Pranata, A. (2022). Blockchain technology for addressing privacy and security issues in cloud computing. International Conference on Cyber Warfare and Security, 17(1), 194–200. https://doi.org/10.34190/iccws.17.1.41
Ngoc Thach, N., Thanh Hanh, H., Ngoc Huy, D. T., Gwozdziewicz, S., Viet Nga, L. T., & Thanh Huong, L. T. (2021). Technology quality management of the industry 4.0 and cybersecurity risk management on current banking activities in emerging markets - the case in Vietnam. International Journal for Quality Research, 15(3), 845–856. https://doi.org/10.24874/ijqr15.03-10
Nguyen, T., Nguyen, H., & Nguyen Gia, T. (2024). Exploring the integration of edge computing and blockchain IoT: Principles, architectures, security, and applications. Journal of Network and Computer Applications, 226(103884), 103884. https://doi.org/10.1016/j.jnca.2024.103884
Núñez-Gómez, C., Carrión, C., Caminero, B., & Delicado, F. M. (2023). S-HIDRA: A blockchain and SDN domain-based architecture to orchestrate fog computing environments. Computer Networks, 221(109512), 109512. https://doi.org/10.1016/j.comnet.2022.109512
Oktian, Y. E., Heo, S., & Kim, H. (2022). SIGNORA: A blockchain-based framework for dataflow integrity provisioning in an untrusted data pipeline. IEEE access: practical innovations, open solutions, 10, 89714–89731. https://doi.org/10.1109/access.2022.3199878
Oliveira, M., Chauhan, S., Pereira, F., Felgueiras, C., & Carvalho, D. (2023). Blockchain protocols and edge computing targeting Industry 5.0 needs. Sensors (Basel, Switzerland), 23(22), 9174. https://doi.org/10.3390/s23229174
Peter Mell, T. G. (2011). The NIST definition of cloud computing. National institute of science and technology, special publication, 800(2011), 145. https://faculty.winthrop.edu/domanm/csci411/Handouts/NIST.pdf
Prasad, S. N., & Rekha, C. (2023). Block chain based IAS protocol to enhance security and privacy in cloud computing. Measurement. Sensors, 28(100813), 100813. https://doi.org/10.1016/j.measen.2023.100813
Ragu, & Ramamoorthy. (2023). A blockchain-based cloud forensics architecture for privacy leakage prediction with cloud. Healthcare Analytics, 4(100220), 100220. https://doi.org/10.1016/j.health.2023.100220
Rahman, A., Islam, M. J., Band, S. S., Muhammad, G., Hasan, K., & Tiwari, P. (2023). Towards a blockchain-SDN-based secure architecture for cloud computing in smart industrial IoT. Digital Communications and Networks, 9(2), 411–421. https://doi.org/10.1016/j.dcan.2022.11.003
Rahman, A., Islam, M. J., Montieri, A., Nasir, M. K., Reza, M. M., Band, S. S., Pescape, A., Hasan, M., Sookhak, M., & Mosavi, A. (2021). SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT. IEEE access: practical innovations, open solutions, 9, 28361–28376. https://doi.org/10.1109/access.2021.3058244
Raimundo, R. J., & Rosário, A. T. (2022). Cybersecurity in the Internet of Things in industrial management. Applied Sciences (Basel, Switzerland), 12(3), 1598. https://doi.org/10.3390/app12031598
Saha, S., Bera, B., Das, A. K., Kumar, N., Islam, S. H., & Park, Y. (2023). Private blockchain envisioned access control system for securing industrial IoT-based pervasive edge computing. IEEE access: practical innovations, open solutions, 11, 130206–130229. https://doi.org/10.1109/access.2023.3333441
Sakthi, U., & DafniRose, J. (2022). Blockchain-enabled smart agricultural knowledge discovery system using edge computing. Procedia Computer Science, 202, 73–82. https://doi.org/10.1016/j.procs.2022.04.011
Samaniego, M., Jamsrandorj, U., & Deters, R. (2016). Blockchain as a Service for IoT. 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).
Sasikumar, A., Ravi, L., Devarajan, M., Vairavasundaram, S., Selvalakshmi, A., Kotecha, K., & Abraham, A. (2023). A decentralized resource allocation in edge computing for secure IoT environments. IEEE access: practical innovations, open solutions, 11, 117177–117189. https://doi.org/10.1109/access.2023.3325056
Shi, Z., Zhou, H., de Laat, C., & Zhao, Z. (2022). A Bayesian game-enhanced auction model for federated cloud services using blockchain. Future Generations Computer Systems: FGCS, 136, 49–66. https://doi.org/10.1016/j.future.2022.05.017
Singh, J., & Michels, J. D. (2018). Blockchain as a Service (BaaS): Providers and Trust. 2018 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW). https://doi.org/10.1109/eurospw.2018.00015
Son, S., Kwon, D., Lee, J., Yu, S., Jho, N.-S., & Park, Y. (2022). On the design of a privacy-preserving communication scheme for cloud-based digital twin environments using blockchain. IEEE access: practical innovations, open solutions, 10, 75365–75375. https://doi.org/10.1109/access.2022.3191414
Song, Y. J., & Lee, J. K. (2020). A blockchain-based fog-enabled energy cloud in internet of things. Journal of Logistics, Informatics and Service Science. https://doi.org/10.33168/jliss.2020.0204
Song, Y., Sun, C., Peng, Y., Zeng, Y., & Sun, B. (2022). Research on multidimensional trust evaluation mechanism of FinTech based on blockchain. IEEE access: practical innovations, open solutions, 10, 57025–57036. https://doi.org/10.1109/access.2022.3177275
Sunmola, F., & Lawrence, G. L. (2024). Key success factors for integration of blockchain and ERP systems: A systematic literature review. Procedia Computer Science, 232, 775–782. https://doi.org/10.1016/j.procs.2024.01.077
Thakur, G., Kumar, P., Deepika, Jangirala, S., Das, A. K., & Park, Y. (2023). An effective privacy-preserving blockchain-assisted security protocol for cloud-based digital twin environment. IEEE access: practical innovations, open solutions, 11, 26877–26892. https://doi.org/10.1109/access.2023.3249116
Usman, M., Sarfraz, M. S., Aftab, M. U., Habib, U., & Javed, S. (2024). A blockchain based scalable domain access control framework for industrial internet of things. IEEE access: practical innovations, open solutions, 12, 56554–56570. https://doi.org/10.1109/access.2024.3390842
Vărzaru, A. A. (2022). Assessing digital transformation of cost accounting tools in healthcare. International Journal of Environmental Research and Public Health, 19(23), 15572. https://doi.org/10.3390/ijerph192315572
Venkatraman, S., 1 Department of Information Technology, Melbourne Polytechnic, VIC, Australia, Venkatraman, R., & 2 Institute of Systems Science, National University of Singapore, Singapore. (2019). Big data security challenges and strategies. AIMS Mathematics, 4(3), 860–879. https://doi.org/10.3934/math.2019.3.860
Volpe, G., Mangini, A. M., & Fanti, M. P. (2022). An architecture combining blockchain, docker and cloud storage for improving digital processes in cloud manufacturing. IEEE access: practical innovations, open solutions, 10, 79141–79151. https://doi.org/10.1109/access.2022.3194264
Wan, J., Chen, B., Wang, S., Xia, M., Li, D., & Liu, C. (2018). Fog computing for energy-aware load balancing and scheduling in smart factory. IEEE transactions on industrial informatics, 14(10), 4548–4556. https://doi.org/10.1109/tii.2018.2818932
Yadav, R., Ritambhara, Vaigandla, K. K., Ghantasala, G. S. P., Singh, R., & Gangodkar, D. (2022). The block chain technology to protect data access using intelligent contracts mechanism security framework for 5G networks. 2022 5th International Conference on Contemporary Computing and Informatics (IC3I).
Zhang, J., Lu, C., Cheng, G., Guo, T., Kang, J., Zhang, X., Yuan, X., & Yan, X. (2021). A blockchain-based trusted edge platform in edge computing environment. Sensors (Basel, Switzerland), 21(6), 2126. https://doi.org/10.3390/s21062126
Zheng, W., Zheng, Z., Chen, X., Dai, K., Li, P., & Chen, R. (2019). NutBaaS: A Blockchain-as-a-Service Platform. IEEE access: practical innovations, open solutions, 7, 134422–134433. https://doi.org/10.1109/access.2019.2941905
Zhou, H., Shi, Z., Ouyang, X., & Zhao, Z. (2021). Building a blockchain-based decentralized ecosystem for cloud and edge computing: an ALLSTAR approach and empirical study. Peer-to-Peer Networking and Applications, 14(6), 3578–3594. https://doi.org/10.1007/s12083-021-01198-z
Zhu, Y., Huang, C., Hu, Z., Al-Dhelaan, A., & Al-Dhelaan, M. (2021). Blockchain-enabled Access Management System for edge computing. Electronics, 10(9), 1000. https://doi.org/10.3390/electronics10091000
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