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Journal articles on the topic 'IoT cloud storage'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Shaharkar, Bhushan B., and Darshan P. Pandit. "ML Based Authentication Scheme for Data Storage in Cloud Based IoT." International Journal of Engineering and Advanced Technology 11, no. 6 (2022): 123–27. http://dx.doi.org/10.35940/ijeat.f3767.0811622.

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Today, organizations are using IoT devices to accurately collect real data and make better business decisions to increase customer satisfaction. The data collected should be stored and stored in a well-designed storage system, which encourages companies to review their data storage infrastructure. The company needs to store data created by the Internet of Things, and that data grows exponentially, forcing IoT to think about cloud storage for data storage. Security issues are a major concern when handling and processing data in DI and cloud environments. Secure integration of IoT and cloud comp

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Bhushan, B. Shaharkar, and P. Pandit Darshan. "ML Based Authentication Scheme for Data Storage in Cloud Based IoT." International Journal of Engineering and Advanced Technology (IJEAT) 11, no. 6 (2022): 123–27. https://doi.org/10.35940/ijeat.F3767.0811622.

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<strong>Abstract: </strong>Today, organizations are using IoT devices to accurately collect real data and make better business decisions to increase customer satisfaction. The data collected should be stored and stored in a well-designed storage system, which encourages companies to review their data storage infrastructure. The company needs to store data created by the Internet of Things, and that data grows exponentially, forcing IoT to think about cloud storage for data storage. Security issues are a major concern when handling and processing data in DI and cloud environments. Secure integr

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Mohammed Sadeeq, Mohammed, Nasiba M. Abdulkareem, Subhi R. M. Zeebaree, Dindar Mikaeel Ahmed, Ahmed Saifullah Sami, and Rizgar R. Zebari. "IoT and Cloud Computing Issues, Challenges and Opportunities: A Review." Qubahan Academic Journal 1, no. 2 (2021): 1–7. http://dx.doi.org/10.48161/qaj.v1n2a36.

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With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets are constantly producing a vast volume of data. It is unwise to locally store all the raw data in the IIoT devices since the energy and storage spaces of the end devices are strictly constrained. self-organization and short-range Internet of Things (IoT) networking also support outsourced data and cloud computing, independent of the distinctive resource constraint properties. For the remainder of the findings, there is a sequence of unfamiliar safeguards for IoT and cloud integration problems. The deliver

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Rashid Abdulqadir, Hindreen, Subhi R. M. Zeebaree, Hanan M. Shukur, et al. "A Study of Moving from Cloud Computing to Fog Computing." Qubahan Academic Journal 1, no. 2 (2021): 60–70. http://dx.doi.org/10.48161/qaj.v1n2a49.

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The exponential growth of the Internet of Things (IoT) technology poses various challenges to the classic centralized cloud computing paradigm, including high latency, limited capacity, and network failure. Cloud computing and Fog computing carry the cloud closer to IoT computers in order to overcome these problems. Cloud and Fog provide IoT processing and storage of IoT items locally instead of sending them to the cloud. Cloud and Fog provide quicker reactions and better efficiency in conjunction with the cloud. Cloud and fog computing should also be viewed as the safest approach to ensure th

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Ren, Jie, and Lijuan Liu. "A Study on Information Classification and Storage in Cloud Computing Data Centers Based on Group Collaborative Intelligent Clustering." Journal of Electrical and Computer Engineering 2022 (March 25, 2022): 1–11. http://dx.doi.org/10.1155/2022/1476661.

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Internet of things (IoT) and cloud computing are combined to form a cloud computing data center, and cloud computing provides virtualization, storage, computing, and other support services for IoT applications. Data is the foundation and core of cloud IoT platform applications, and massive multisource heterogeneous IoT data aggregation and storage have basic requirements such as real-time, security, and scalability. This paper focuses on the aggregation and storage methods of massive heterogeneous cloud IoT data, solving the multisource data aggregation problem caused by inconsistent protocols

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Norqo'chqorov, Humoyun. "CHALLENGES AND ISSUES IN CORRELATION OF IOT AND CLOUD COMPUTING: REVIEW." ACADEMIC RESEARCH IN MODERN SCIENCE 1, no. 16 (2022): 135–39. https://doi.org/10.5281/zenodo.7256044.

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Internet of Things (IoT), numerous outlets continually produce a considerable volume of data. It is rash to locally store all of the crude data in the IoT gadgets since the end gadgets' energy, Selfassociation ultimately compels storage spaces. IoT networks empower out-obtained data assortment and cloud storage regardless of the resource. IoT and Cloud Computing have extended a few opportunities for the solid incorporation of IoT with Cloud and to deal with many data. The future coordination of IoT and Cloud computing providers, concocting previously unheard-of utilizations.

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Ilchenko, M. Yu, T. M. Narytnyk, V. I. Prysiazhnyi, S. V. Kapshtyk, and S. A. Matvienko. "Space infrastructure of the Internet of things. State and prospects of development." Kosmìčna nauka ì tehnologìâ 27, no. 6 (2021): 65–84. http://dx.doi.org/10.15407/knit2021.06.065.

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We present an overview of possibilities for existing Satellite Communication Systems utilization to provide Internet of Things Services. It is shown that existing Satellite Communication Systems provide traffic transmission for IoT Systems with Cloud Architecture. The proposals are explicated on the possibility of using Fog and Edge Computing for Satellite Communication Systems. The implementation of Fog and Edge computing in IoT Systems requires the modernization of the Low-Earth Orbit (LEO) and Geostationary Orbit (GEO) Satellite Communication Systems, and we show the ways of their enhanceme

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Gokulkannan, K., M. Parthiban, Jayanthi S, and Manoj Kumar T. "Cost effective cloud-based data storage scheme with enhanced privacy preserving principles." Scientific Temper 15, no. 02 (2024): 2104–15. http://dx.doi.org/10.58414/scientifictemper.2024.15.2.21.

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As the convergence of the internet of things (IoT) and cloud computing continues to reshape data management paradigms, ensuring the integrity of vast datasets becomes a critical concern. This research introduces an innovative solution for large-scale IoT-cloud systems, presenting an efficient and secure multi-owner batch integrity checking scheme. The proposed system leverages streamlined cryptographic operations to enhance efficiency and security. The study comprehensively evaluates the proposed system’s proficiency, durability, and validity, focusing on key factors such as computational cost

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ПАВЛОВА, А. А., Д. А. ЦИВДИНОВА, Б. А. ЧИЛГИРОВ, et al. "OVERVIEW OF THE INTERNATIONAL DISTRIBUTED COMPUTING MARKET AND DATA STORAGE (CLOUD STORAGE)." Экономика и предпринимательство, no. 1(162) (February 11, 2024): 562–66. http://dx.doi.org/10.34925/eip.2024.162.1.105.

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В данной статье авторами проведен обзор международного рынка распределенных вычислений и хранилищ данных (облачное хранение). Рассмотрены принцип распределенных вычислений и ориентированные на них технологии и платформы, такие как облачные вычисления, блокчейн, грид-вычисления, микросервисы, интернет вещей (IoT). На основе проведенного исследования авторами определены ключевые факторы влияющие на рост рынка облачных хранилищ данных. In this article, the authors reviewed the international market for distributed computing and data storage (cloud storage). The principle of distributed computing a

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R, Ravinder Naik, Ujwala B, and Raja Sekhar Reddy P. "The Need for Integration of Cloud with IoT." European Journal of Advances in Engineering and Technology 5, no. 5 (2018): 317–21. https://doi.org/10.5281/zenodo.10707991.

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<strong>ABSTRACT </strong> Internet of Things is generally considered by real world small things, widely distributed, with limited capacity in terms of storage e and processing, which involve concerns regarding reliability, performance, security, and privacy. On the other hand, Cloud computing has unlimited capabilities in terms of storage and processing power,  Thus, a novel IT paradigm in which Cloud and IoT are two complementary technologies merged together is expected to disrupt both current and Future Internet. We call this new paradigm CloudIoT. Therefore, the integration of cloud a

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Imron, Imron, Bagus Satria, Syafei Karim, and Fajar Ramadhani. "Cloud Storage for Object Detection using ESP32-CAM." TEPIAN 5, no. 2 (2024): 50–57. http://dx.doi.org/10.51967/tepian.v5i2.2994.

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Cloud storage services can create an object storage bucket to store our pictures, among them the Cloud Storage FUSE, Scaleway, S3 bucket, Firebase, etc. intelligent IoT systems generate vast amounts of multi-source industrial data, which necessitate a large amount of storage and processing power to enable real-time data processing and analysis. Cloud computing can be intricately linked into intelligent IIoT systems due to its strong computational and storage capabilities. Cloud Storage for Object Detection using ESP32-CAM. Create a workable solution that supports distributed storage bucket and

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Rakesh, S., and Somsagar Sarfarazahmed. "Attribute-Based Encryption for Cloud IOT With Accountability and Privacy Protection." Advancement and Research in Instrumentation Engineering 6, no. 2 (2023): 36–41. https://doi.org/10.5281/zenodo.8210458.

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<em>In this paper, we introduce a novel "CHARM" heterogeneous multi-cloud solution to cost-effective data hosting with high availability. It intelligently distributes data over various clouds with no financial expenditure and guaranteed availability. We explicitly incorporate the two widely used redundancy mechanisms, replication and erasure coding, into a coherent model to provide the required availability in the presence of diverse data access patterns. The optimal data storage choices (including clouds and redundancy systems) are then chosen using a robust heuristic-based approach

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Liu, Dengzhi, Zhimin Li, Chen Wang, and Yongjun Ren. "Enabling secure mutual authentication and storage checking in cloud-assisted IoT." Mathematical Biosciences and Engineering 19, no. 11 (2022): 11034–46. http://dx.doi.org/10.3934/mbe.2022514.

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<abstract><p>Internet of things (IoT) is a technology that can collect the data sensed by the devices for the further real-time services. Using the technique of cloud computing to assist IoT devices in data storing can eliminate the disadvantage of the constrained local storage and computing capability. However, the complex network environment makes cloud servers vulnerable to attacks, and adversaries pretend to be legal IoT clients trying to access the cloud server. Hence, it is necessary to provide a mechanism of mutual authentication for the cloud system to enhance the storage s

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Lin, Longhan. "Storage and Data Processing Technology in the Era of Information Explosion: from Traditional to Edge Computing." Highlights in Science, Engineering and Technology 87 (March 26, 2024): 66–75. http://dx.doi.org/10.54097/5v79vr69.

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Data-intensive IoT gradually occupying the market, and efficient and reliable storage algorithms of signals and information are becoming increasingly important. The old-era storage algorithms no longer meet the needs of digital and intelligent cloud storage due to large space usage and low operating efficiency. One of the important topics in IoT cloud computing is to find a turning point from traditional storage methods to develop data-intensive and efficient storage methods. This research analyzed the principles, features, advantages, and disadvantages of many classic storage algorithms, incl

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Sadiku, Matthew N. O., Mahamadou Tembely, and Sarhan M. Musa. "Fog Computing: A Primer." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 7 (2017): 405. http://dx.doi.org/10.23956/ijarcsse.v7i7.165.

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Fog computing (FC) was proposed in 2012 by Cisco as the ideal computing model for providing real-time computing services and storage to support the resource-constrained Internet of Things (IoT) devices. Thus, FC may be regarded as the convergence of the IoT and the Cloud, combining the data-centric IoT services and pay-as-you-go characteristics of clouds. This paper provides a brief introduction of fog computing.

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Abdulqadir, H. R., and N. S. Ahmed. "Fog Computing Analysis Based on Internet of Thing: A Review." International Journal of Science and Business 5, no. 3 (2021): 137–47. https://doi.org/10.5281/zenodo.4534437.

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Cloud machine architectures face many drawbacks due to the improved autonomous and distributed IoT configuration. The IoT is closer to the cloud infrastructure. The fog offers IoT data care and storage locally on IoT devices rather than in the cloud. The fog provides quicker responses and better performance in relation to the cloud. The best alternative for IoT to provide powerful and effective resources for many IoT customers may therefore be called Fog Computing. This paper aims at fog computing's state-of-the-art and alignment with IoT in detailing the advantages and challenges of imple

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Et.al, Sazly Anuar. "Safety Features and Inventory Management for Vending Machine Using IoT." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 2242–52. http://dx.doi.org/10.17762/turcomat.v12i3.1174.

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Security features and inventory management for vending machines using IoT is a project which focus mainly on IoT implementation. Although IoT is no stranger to vending machine, the project takes different approach of IoT. It is not just about the inventory management, but also the security features. Since IoT requires internet connection and cloud storage, it requires a microcontroller that supports wireless connection. Therefore, all the operations including controlling the vending machine will be done using ESP32 microcontroller. Anything that are recorded from the vending machine such as th

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Hossain, Kaium, Mizanur Rahman, and Shanto Roy. "IoT Data Compression and Optimization Techniques in Cloud Storage." International Journal of Cloud Applications and Computing 9, no. 2 (2019): 43–59. http://dx.doi.org/10.4018/ijcac.2019040103.

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This article presents a detailed survey on different data compression and storage optimization techniques in the cloud, their implications, and discussion over future directions. The development of the smart city or smart home systems lies in the development of the Internet of Things (IoT). With the increasing number of IoT devices, the tremendous volume of data is being generated every single day. Therefore, it is necessary to optimize the system's performance by managing, compressing and mining IoT data for smart decision support systems. In this article, the authors surveyed recent approach

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Adhitya, Bhawiyuga, Primanita Kartikasari Dany, Amron Kasyful, Bagus Pratama Ocki, and Wildan Habib Moch. "Architectural design of IoT-cloud computing integration platform." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 3 (2019): 1399–408. https://doi.org/10.12928/TELKOMNIKA.v17i3.11786.

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An integration between the Internet of Things (IoT) and cloud computing can potentially leverage the utilization of both sides. As the IoT based system is mostly composed by the interconnection of pervasive and constrained devices, it can take a benefit of virtually unlimited resources of cloud entity i.e storage and computation services to store and process its sensed data. On the other hand, the cloud computing system may get benefit from IoT by broadening its reach to real world environment applications. In order to incarnate this idea, a cloud software platform is needed to provide an inte

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Srikanth, Kandragula. "Cloud Computing in IoT Applications." European Journal of Advances in Engineering and Technology 7, no. 1 (2020): 70–72. https://doi.org/10.5281/zenodo.13950929.

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The burgeoning Internet of Things (IoT) landscape, with its ever-increasing network of interconnected devices, generates a massive and ever-expanding stream of data. This data deluge necessitates robust solutions for storage, processing, and analysis. Cloud computing emerges as the ideal platform, offering unparalleled scalability, security, and real-time analytics capabilities. This paper explores the symbiotic relationship between cloud computing and IoT applications, highlighting the key advantages cloud computing offers and showcasing its transformative impact across various IoT domains.

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Kakade, Manoj Subhash, Anupama Karuppiah, Mayank Mathur, et al. "Multitask Scheduling on Distributed Cloudlet System Built Using SoCs." Journal of Systemics, Cybernetics and Informatics 21, no. 1 (2023): 61–72. http://dx.doi.org/10.54808/jsci.21.01.61.

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With the emergence of IoT, new computing paradigms have also emerged. Initial IoT systems had all the computing happening on the cloud. With the emergence of Industry 4.0 and IoT being the major building block, clouds are not the only solution for data storage and analytics. Cloudlet, Fog Computing, Edge Computing, and Dew Computing models are now available, providing similar capabilities as the cloud. The term cloudlet was introduced first in 2011, but research in this area has picked up only over the past five years. Unlike clouds, which are built with powerful server-class machines and GPUs

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Valeti, Nagarjuna, and V. Ceronmani Sharmila. "Fault Detection based Connected Dominating Set (FDCDS) in Fog Computing." Webology 17, no. 2 (2020): 599–606. http://dx.doi.org/10.14704/web/v17i2/web17054.

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The meaning of cloud computing is providing services by using the internet. From the Cloud Data Centres (CDC) the services are utilized by the cloud users. Presently (Internet of things) IOT playing the key role to improve the performance of the fog computing enabled applications. Migrating the wireless sensor networks with IOT becomes the most powerful and error free application based on the availability of the services, cloud storage, computation and these are transferred efficiently between server and cloud. Health domain is most widely affecting system in cloud computing as well as by usin

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Verma, Jyotsna. "Enabling Internet of Things through Sensor Cloud: A Review." Scalable Computing: Practice and Experience 22, no. 4 (2021): 445–62. http://dx.doi.org/10.12694/scpe.v22i4.1878.

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With the inception of the Internet of Things (IoT), wireless technology found a new outlook where the physical objects can interact with each other and can sense the environment. The IoT has found its way in the real world and has connected billions of devices throughout the world. However, its limitations, such as limited processing capability, storage capability, security and privacy issues, and energy constraints prevent the IoT system to be properly utilized by the real-world applications. Hence, the integration of IoT with various emerging technologies like big data, software defined netw

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Faruqui, Nuruzzaman, Sandesh Achar, Sandeepkumar Racherla, et al. "Cloud IaaS Optimization Using Machine Vision at the IoT Edge and the Grid Sensing Algorithm." Sensors 24, no. 21 (2024): 6895. http://dx.doi.org/10.3390/s24216895.

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Security grids consisting of High-Definition (HD) Internet of Things (IoT) cameras are gaining popularity for organizational perimeter surveillance and security monitoring. Transmitting HD video data to cloud infrastructure requires high bandwidth and more storage space than text, audio, and image data. It becomes more challenging for large-scale organizations with massive security grids to minimize cloud network bandwidth and storage costs. This paper presents an application of Machine Vision at the IoT Edge (Mez) technology in association with a novel Grid Sensing (GRS) algorithm to optimize

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Shakya, Subarna. "A Perspective Review of Security Issues in IoT with Cloud Environment." Journal of ISMAC 4, no. 2 (2022): 84–93. http://dx.doi.org/10.36548/jismac.2022.2.002.

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The Internet of Things (IoT) is a paradigm that is rapidly growing in all important fields of telecommunications. Cloud computing is a computing technique that provides a large amount of storage space for data enhancement. The integration of IoT and cloud computing expands storage space for a larger number of users while maintaining the data communication between the different end users. By combining the computing and communication paradigms, this integration produces an efficient result. The main disadvantage is security, which is the most important issue nowadays. This review paper examines

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Budati, Anil Kumar, Sridhar Reddy Vulapula, Syed Bilal Hussian Shah, Anas Al-Tirawi, and Anil Carie. "Secure Multi-Level Privacy-Protection Scheme for Securing Private Data over 5G-Enabled Hybrid Cloud IoT Networks." Electronics 12, no. 7 (2023): 1638. http://dx.doi.org/10.3390/electronics12071638.

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The hybrid cloud is a secure alternative for enterprises to exploit the benefits of cloud computing to overcome the privacy and security concerns of data in IoT networks. However, in hybrid cloud IoT, sensitive items such as keys in the private cloud can become compromised due to internal attacks. Once these keys are compromised, the encrypted data in the public cloud are no longer secure. This work proposes a secure multilevel privacy-protection scheme based on Generative Adversarial Networks (GAN) for hybrid cloud IoT. The scheme secures sensitive information in the private cloud against int

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Sumathi, M., S. P. Raja, N. Vijayaraj, and M. Rajkamal. "Healthcare Data Collection Using Internet of Things and Blockchain Based Decentralized Data Storage." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 12, no. 1 (2023): e28612. http://dx.doi.org/10.14201/adcaij.28612.

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With the increase in usage of Internet of Things devices (IoT), IoT is used in different sectors such as manufacturing, electric vehicles, home automation and healthcare. The IoT devices collected large volumes of data on different parameters at regular intervals. Storing a massive amount volume of IoT data securely is a complicated task. Presently, the majority of IoT devices use cloud storage to store the data, however, cloud servers require large storage and high computation. Due to third party cloud service provider (CSP) interaction, the management of IoT data security fully depends on th

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Vistro, Daniel Mago. "IoT based Big Data Analytics for Cloud Storage Using Edge Computing." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 1594–98. http://dx.doi.org/10.5373/jardcs/v12sp7/20202262.

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Somalina, Chowdhury, and Kumar Sen Santanu. "Cloud Computing in IoT based Smart Meter." International Journal of Engineering and Advanced Technology (IJEAT) 10, no. 1 (2020): 363–64. https://doi.org/10.35940/ijeat.A1891.1010120.

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Modern tends forces a massive change in power industry and utility value chain. Therefore demands of resources and storage is also increases which can be supported by cloud computing. Consumer role becomes one of the vital role here. These are all implemented by Smart Grid. So we need to develop advanced power distribution grids with modern infrastructure. In this paper we will discuss about one of the most important component of smart grid that is smart meter that will IoT based and use cloud platform for data processing and storing. Cloud infrastructure will help in building a large number o

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Jayaraju, Poreddy. "Smart Healthcare Monitoring System Using Mobile App, Data Collection using Cloud Storage, and Building a Dashboard for Real-Time Health Analytics and Reporting." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem.ncft047.

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Abstract— The rapid advancement in IoT and cloud computing has revolutionized healthcare monitoring systems. This project proposes a Smart Healthcare Monitoring System that integrates a mobile app (Android-based), cloud storage (Thing Speak), and a real-time analytics dashboard (Power BI) for continuous health tracking. The system collects vital health parameters such as body temperature (LM35 sensor) and heart rate (pulse sensor) via an ESP8266-based IoT module, transmits data to the cloud, and visualizes it for medical professionals and patients. The Android app (developed in Java/Android St

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Goyal, Tarun, Rakesh Rathi, Vinesh Kumar Jain, Emmanuel Shubhakar Pilli, and Arka Prokash Mazumdar. "Big Data Handling Over Cloud for Internet of Things." International Journal of Information Technology and Web Engineering 13, no. 2 (2018): 37–47. http://dx.doi.org/10.4018/ijitwe.2018040104.

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In this article, the authors have discussed about the connection between Internet of Things and growth of big data. They have also discussed short reference on the evolution, features, lifecycle, and implementation of Big Data from IoT over the cloud. Internet of Things represents a platform or environment that consists of enormous number of sensors and mediators interconnecting heterogeneous physical devices over the internet. IoT applications are available in many real-world areas such as smart city, smart workplace, smart home, smart transportation and various other ubiquitous computing are

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Zhang, Yongqiang, Hongchang Yu, Wanzhen Zhou, and Menghua Man. "Application and Research of IoT Architecture for End-Net-Cloud Edge Computing." Electronics 12, no. 1 (2022): 1. http://dx.doi.org/10.3390/electronics12010001.

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At the edge of the network close to the source of the data, edge computing deploys computing, storage and other capabilities to provide intelligent services in close proximity and offers low bandwidth consumption, low latency and high security. It satisfies the requirements of transmission bandwidth, real-time and security for Internet of Things (IoT) application scenarios. Based on the IoT architecture, an IoT edge computing (EC-IoT) reference architecture is proposed, which contained three layers: The end edge, the network edge and the cloud edge. Furthermore, the key technologies of the app

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Abdurahimov, Muzaffar, and Husanboy Ikramov. "INFORMATIZATION OF RECREATION PLACES." Research and implementation 2, no. 4 (2024): 238–42. https://doi.org/10.5281/zenodo.10887844.

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This article outlines important data storage and analysis techniques for IoT platforms. For data storage, cloud storage, local systems, edge storage and hybrid storage methods are presented. These methods will depend on IoT platforms and the organization's requirements and characteristics. The methods of data analysis are shown in terms of statistical analysis, reference and filtering, machine learning, clustering, sentiment analysis and forecasting methods. These techniques help to explore data, make sense of it, set directions, and make suggestions. The article explores the efficient storage

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Ahmed, Saleem. "IoT based Smart Cities and Cloud Data Storage." International Journal of Engineering Trends and Technology 68, no. 1 (2020): 72–78. http://dx.doi.org/10.14445/22315381/ijett-v68i1p211.

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Safaridis, Felix, Eleftheria Katsarou, and Stathes Hadjiefthymiades. "Reducing IoT Data for Highly Efficient Cloud Storage." Procedia Computer Science 257 (2025): 182–89. https://doi.org/10.1016/j.procs.2025.03.026.

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Moysiadis, Vasileios, Panagiotis Sarigiannidis, and Ioannis Moscholios. "Towards Distributed Data Management in Fog Computing." Wireless Communications and Mobile Computing 2018 (September 2, 2018): 1–14. http://dx.doi.org/10.1155/2018/7597686.

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In the emerging area of the Internet of Things (IoT), the exponential growth of the number of smart devices leads to a growing need for efficient data storage mechanisms. Cloud Computing was an efficient solution so far to store and manipulate such huge amount of data. However, in the next years it is expected that Cloud Computing will be unable to handle the huge amount of the IoT devices efficiently due to bandwidth limitations. An arising technology which promises to overwhelm many drawbacks in large-scale networks in IoT is Fog Computing. Fog Computing provides high-quality Cloud services

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Zhong, Jiayong, and Xiaofu Xiong. "Data Security Storage Method for Power Distribution Internet of Things in Cyber-Physical Energy Systems." Wireless Communications and Mobile Computing 2021 (January 2, 2021): 1–15. http://dx.doi.org/10.1155/2021/6694729.

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The existing cloud storage methods cannot meet the delay requirements of intelligent devices in the power distribution Internet of Things (IoT), and it is difficult to ensure the data security in the complex network environment. Therefore, a data Security Storage method for the power distribution IoT is proposed. Firstly, based on the “cloud tube edge end” power distribution IoT structure, a cloud edge collaborative centralized distributed joint control mode is proposed, which makes full use of the collaborative advantages of cloud computing and edge computing to meet the real-time requirement

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Jasim, Khalid F., Reem J. Ismail, Abdullah A. Nahi Al-Rabeeah, and Soma Solaimanzadeh. "Analysis the Structures of Some Symmetric Cipher Algorithms Suitable for the Security of IoT Devices." Cihan University-Erbil Scientific Journal 5, no. 2 (2021): 13–19. http://dx.doi.org/10.24086/cuesj.v5n2y2021.pp13-19.

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In the past years, the Internet of Things (IoT) used in different applications and very wide range of fields (e.g. cloud services, smart environments, logistics, social and personal domains, and healthcare services). The IoT included a variety of components and devices such as RFID devices, wireless sensors, actuators, and wireless networks. Also, the IoT with smart devices adopted in various companies, organizations and public services systems. For instance, some devices like Notebooks and smartphones have been used to perform different management activities and duties. These smart devices re

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K., Thamizhmaran. "Cloud Computing using Internet of Thinks (IoT) in Big Data Storage." Journal of VLSI Design and its Advancement 7, no. 1 (2024): 9–16. https://doi.org/10.5281/zenodo.10633490.

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<em>Applications for the Internet of Things (IoT) have become a significant area of study for researchers and engineers alike, particularly data analysts. This is because of the volume and influence of data-related issues that need to be resolved in high-level corporate organizations, particularly in the cloud. It offers a functional framework that delineates the domains of IoT big data collecting, management, processing, and mining. Additionally, a number of related technical modules are defined and characterized based on their salient features and capacities. IoT-related research is being pr

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Ahuja, Sanjay P., and Niharika Deval. "From Cloud Computing to Fog Computing." International Journal of Fog Computing 1, no. 1 (2018): 1–14. http://dx.doi.org/10.4018/ijfc.2018010101.

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This article describes how in recent years, Cloud Computing has emerged as a fundamental computing paradigm that has significantly changed the approach of enterprises as well as end users towards implementation of Internet technology. The key characteristics such as on-demand resource provision, scalability, rapid elasticity, higher flexibility, and significant cost savings have influenced enterprises of all sizes in the wide and successful adoption of Cloud Computing. Despite numerous advantages, Cloud Computing has its fair share of downsides as well. One of those major concerns is latency i

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Angelin Jebamalar, J., and Dr A. Sasi Kumar. "A review on the integration of cloud computing and internet of things." International Journal of Engineering & Technology 7, no. 3.3 (2018): 683. http://dx.doi.org/10.14419/ijet.v7i2.33.15475.

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Internet of Things (IoT) is a technology of interest, becoming so invasive which generate huge amount of data and hence it is significant to integrate with Cloud computing, a delivery model provisioned with virtual resources and storage capacity. This IoT and Cloud computing integration referred as 'Cloud of Things' bears key issues and the one is Security which hampers growth of it. This paper highlights those key issues and smart applications of Cloud of Things.

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Harish Kumar, N., and G. Deepak. "A Block Chain Approach for Privacy Preserving and Data Security in Internet of Things." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 3979–82. http://dx.doi.org/10.1166/jctn.2020.9002.

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Internet of Things has been increasing its usage and recognition in vast sectors like Defence, Business, Industries, and Hospitals. The data disruption is strictly unacceptable in a number of these sectors because it could end up in serious Loss or Damages to the entire system. As of now, IOT is using a central cloud storage system for information storage and transactions. However, some examples already verified that Central cloud storage information might be hacked and changed by the specialists. This paper presents an IoT system having localized block chain storage which works on real time d

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Atlam, Hany, Robert Walters, and Gary Wills. "Fog Computing and the Internet of Things: A Review." Big Data and Cognitive Computing 2, no. 2 (2018): 10. http://dx.doi.org/10.3390/bdcc2020010.

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With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud computing paradigm faces several challenges such as high latency, low capacity and network failure. To address these challenges, fog computing brings the cloud closer to IoT devices. The fog provides IoT data processing and storage locally at IoT devices instead of sending them to the cloud. In contrast to the cloud, the fog provides services with faster response and greater quality. Therefore, fog computing may be considered the best choice to enable the IoT to provide efficient and secure services f

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Prakoso, Satrio Yudho, Ade Agung Harnawan, Muhammad Itqan Mazdadi, and Yoga Pambudi. "Sistem Monitor Suhu dan Kelembaban Berbasis Cloud pada Lahan Gambut." Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat 19, no. 1 (2022): 60. http://dx.doi.org/10.20527/flux.v19i1.10379.

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The Research and Development Center for The Soil and Agricultural Land Resources Office estimates that Indonesia's peatland area is around 14.9 million H. In the dry season, peatlands experience dryness, so they burn easily. More than 99% of the causes of forest and peatland fires are human-made, either deliberately burning or neglecting to use fire. IoT (Internet of Things) technology is used to connect all devices to the internet and enable communication of each other, one reason for which is that digital data stored on cloud storage, then display the data on a website. The website was desig

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Jawed, Md Saquib, and Mohammad Sajid. "A Comprehensive Survey on Cloud Computing." International Journal of Cloud Applications and Computing 12, no. 1 (2022): 1–33. http://dx.doi.org/10.4018/ijcac.308277.

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Cloud computing is one of the most spectacular technological achievements of the 21st century, allowing users to access various on-demand services (e.g., storage, servers, networks, apps, and services) from anywhere. All advanced technologies such as internet of things (IoT), smart cities, smart grid, system automation, 5G, and logistics systems require services offered by cloud computing. This paper provides a complete architectural tutorial on cloud computing, focusing on various service and deployment models, architectures, inter-clouds concepts, and multiple merits of cloud computing in ar

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Shrimant, Gaikwad Vidya, K. Ravindranath, and Gudapati Syam Prasad. "A mathematical model for secure Cloud-IoT communication: Introducing the revolutionary lightweight key mechanism." Journal of Discrete Mathematical Sciences and Cryptography 26, no. 5 (2023): 1341–54. http://dx.doi.org/10.47974/jdmsc-1750.

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Internet of Things (IoT) is a new technology in telecommunications that focuses on wireless, remote communication. It involves connecting various smart devices to build a network that can transfer data through the cloud. In this type of environment, challenges such as device life span of battery, space needed for storage, consumption of power, and data security for cloud IoT have been identified. This work presents the design and implementation of a secure lightweight key establishment system for the integration of IoT Cloud. A Symmetric Lightweight Algorithm is utilized to enhance the securit

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Dr.Trupti, Kaushiram Wable. "Design and Implementation of Collaborative Cloud-Edge System Using Raspberry Pi for Video Surveillance System with AIoT to Analyse Effective Performance Parameters of Network." Research and Applications: Emerging Technologies 6, no. 2 (2024): 30–35. https://doi.org/10.5281/zenodo.11607879.

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<em>The video surveillance can avoid many crimes as well as it will help to reduce crime rate in society as well we can save many lives. But currently implemented IoT system having various limitations like insufficient storage capacity and inadequate processing of information. Thus we can integrate traditional IoT system with Artificial Intelligence (AI) models to improve storage capacity & processing called as Artificial Intelligence of Things (AIoT). This system mainly focuses on performance parameter of video surveillance system the parameter consist of Response Latency Time, Network Ba

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Kulsoom, Umm e., Syeda Faiza Nasim, Asma Qaiser, Sidra Aziz, and Syeda Alishba Fatima. "A Review about Internet of Things (IoT) integration with Cloud Computing with a Limelight on Security." Pakistan Journal of Engineering and Technology 6, no. 4 (2024): 1–6. http://dx.doi.org/10.51846/vol6iss4pp1-6.

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Cloud computing has become a pivotal and widely embraced technology due to its accessibility and cost-effectiveness. This review explores the intersection of cloud computing and Internet-of-Things (IoT) devices, highlighting the remarkable advancements made in resource utilization and storage methods. However, this rapid growth has also raised concerns about security. Through an in-depth analysis of recent research, we examine the security challenges associated with IoT-based cloud computing, including account hacking, phishing, malware, middleman attacks, and service denial. We also discuss t

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Nancy, A. Angel, Dakshanamoorthy Ravindran, Durai Raj Vincent, Kathiravan Srinivasan, and Chuan-Yu Chang. "Fog-Based Smart Cardiovascular Disease Prediction System Powered by Modified Gated Recurrent Unit." Diagnostics 13, no. 12 (2023): 2071. http://dx.doi.org/10.3390/diagnostics13122071.

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The ongoing fast-paced technology trend has brought forth ceaseless transformation. In this regard, cloud computing has long proven to be the paramount deliverer of services such as computing power, software, networking, storage, and databases on a pay-per-use basis. The cloud is a big proponent of the internet of things (IoT), furnishing the computation and storage requisite to address internet-of-things applications. With the proliferating IoT devices triggering a continual data upsurge, the cloud–IoT interaction encounters latency, bandwidth, and connectivity restraints. The inclusion of th

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Jang, Chi Young, Dal Hwan Yoon, Myung Kee Jang, et al. "Implementing an Edge-IoT System for Real-Time Information Gathering of RTOs : Implementing Architecture for IoT Data Collection." Forum of Public Safety and Culture 34 (September 30, 2024): 33–50. http://dx.doi.org/10.52902/kjsc.2024.34.33.

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In this study, an IoT architecture is implemented to collect and determine real-time status information for remote maintenance of heat storage thermal oxidizer. IoT architecture systems interface with PLC (Programmable Logic Control), which controls RTO operation monitoring, and transmit real-time data to remote servers, and channel data received through IoT is analyzed to build a database and visualize the characteristics of RTO devices. IoT architecture implementation for real-time monitoring, failure determination, and maintenance of heat storage combustion oxidation facilities interface Io

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