Cloud Storage Technology Research Articles

Exploring Trust, Privacy, and Security in Cloud Storage Adoption among Generation Z: An Extended TAM Approach

The incorporation of cloud storage technology holds the promise of significantly enhancing efficiency in various sectors, particularly from the perspective of Generation Z, a demographic known for its meticulous consideration of technology acceptance factors, especially security. This research thoroughly examines the level of acceptance of cloud storage technology among Generation Z. By augmenting the Technology Acceptance Model (TAM) with five core factors and introducing three novel factors—Perceived Security, Perceived Privacy, and Trust—this study not only adheres to traditional acceptance models but also ventures into uncharted territories, marking a significant contribution to understanding technology acceptance. This study meticulously collected data from 408 Generation Z respondents who actively use cloud storage technology, employing an innovative questionnaire disseminated via an online platform. Through sophisticated PLS-SEM data analysis, the study confirmed the positive and significant impact of all tested hypotheses, underscoring the importance of attitudes, perceived benefits, and usability in fostering the intention to use cloud storage. Notably, the added dimensions of privacy and security emerged as critical in enhancing users' trust in cloud storage solutions. Furthermore, this study paves the way for future explorations into technology acceptance across diverse populations and settings, underscoring the critical role of security and privacy in shaping technology adoption decisions among emerging generations.

An anonymous and large-universe data-sharing scheme with traceability for medical cloud storage

The application of medical cloud storage technology in healthcare and the sharing of electronic medical records (EMR) bring convenience for patients and medical institutes. However, two barriers limit further expansions of the above (i.e. key escrow and key abuse issues). In this paper, we construct a large universe data-sharing scheme based on attribute-based encryption. We design all attribute authorities simultaneously to participate in the key computation, and the user performs aggregation. By issuing anonymous credentials to the recipients, their identity information is protected. To achieve complete tracing of the traitor, we blend the two mechanisms, white-box traceability and black-box traceability, together. Detailed security proofs have been carried out for various types of possible attackers, and theoretical analyses have verified the security of the proposed scheme. We performed performance evaluations in conjunction with existing schemes, and numerical experience shows that the burden on the user side is also minimal.

Probability of Erosion Utilizing Google Earth Engine and the RUSLE Method in the Tuntang Watershed

The Tuntang Watershed is an important watershed in Central Java. Management of watersheds in the Tuntang stream is a priority for various parties to carry out. One of the things that threatens the sustainability of the Tuntang watershed is erosion. The erosion rate can lead to sediment accumulation and siltation in the Tuntang River reservoir, which can cause catastrophic flooding. Flood disaster mitigation caused by erosion needs to be done, one of which is by calculating the erosion rate per year that occurs in the Tuntang watershed. This study calcultated the predicted erosion rate (per year in the Tuntang watershed) using the Revised Universal Soil Loss Equation (RUSLE) method, processed using the Google Earth Engine (GEE). Google offers a cloud-storage technology called GEE. Programming in JavaScript is required to operate GEE. GEE is a petabyte-scale data-based tool that can be used to analyze and archive geospatial data that is open source. The computing environment is designed for the processing of geospatial data, including the depiction of spatial analysis of satellite imagery. Data for RUSLE is obtained from the database in GEE, and the results can be imaged on a map. According to the study’s findings, the degree of soil erosion throughout the Tuntang Watershed was essentially constant, with Moderate erosion predominating in the majority of locations. Senjoyo Sub Watershed, Rowopening Sub Watershed, and Tuntang Hilir Sub Watershed are the primary locations with severe erosion. Rowopening Sub Watershed is the region that is the worst.

The Role of Cloud Storage in Rebuilding Governmental Data After Conflict: A Case Study of Sudan 2023

The aim of this research is to assess the Role of Cloud Storage in Rebuilding Governmental Data After Conflict, with a deeper insight into Sudanese case. To investigate the role of cloud storage in rebuilding governmental data after conflict in Sudan, this study employs a quantitative research methodology. The primary data collection instrument is a structured questionnaire designed to gather insights and perspectives from 80 participants of key stakeholders involved in the cloud storage adoption and data reconstruction efforts in Sudan, including (IT professionals and data management experts, Senior-level government officials and policymakers, Representatives from cloud service providers, End-users and data consumers from various government agencies). The collected data underwent accurate statistical analysis, including descriptive and inferential techniques, to identify patterns, trends, and relationships among the variables under investigation. Quantitative data was analyzed using "SPSS" statistical software. The findings of the research revealed that, a total of 18 participants representing (22.5%) agree that there is a high level of awareness and understanding of cloud storage technologies among government agencies in Sudan, while 28 participants representing (35%) disagree. Which indicates the need of spreading the awareness and understanding of cloud storage technologies among government agencies in Sudan. Furthermore, Pearson Chi-Square test was used to measure the role of cloud storage in rebuilding governmental data after conflict in Sudan, a significance value of (0.021) which is less than (p-value=.05) suggests that there is a significant role of cloud storage in rebuilding governmental data after conflict in Sudan.

AN ANALYSIS OF RECENT STUDIES IN ENGLISH EDUCATION IN CHINA USING AN APPLICATION OF BIG DATA IN ENGLISH TEACHING

With the continuous advancement of science and technology, education has entered the era of big data based on computer network technology, powerful cloud storage technology, and computational analysis technology. The era of big data is changing society at a rapid pace. Big data can transform how we teach English, the dominant position in English teaching, the evaluation methods of English teaching, and education in general. Big data can also be applied to the remote teaching of English history, teaching party history, and English exam history in the English classroom. By applying big data to the history of English teaching, we can significantly improve China's English teaching industry and promote the reform of China's education industry. English is a universal language in today's globalized world, and it has become even more critical. Therefore, English teaching should be reformed towards application, and learning English can be a tool that significantly impacts people's lives, especially in the context of China, where English is not the first language (L1).

Establishing enterprise information management platform using cloud storage technology under e-commerce environment

Establishing enterprise information management platform using cloud storage technology under e-commerce environment

Revocable and Traceable Undeniable Attribute-Based Encryption in Cloud-Enabled E-Health Systems.

The emerging cloud storage technology has significantly improved efficiency and productivity in the traditional electronic healthcare field. However, it has also brought about many security concerns. Ciphertext policy attribute-based encryption (CP-ABE) holds immense potential in achieving fine-grained access control, providing robust security for electronic healthcare data in the cloud. However, current CP-ABE schemes still face issues such as inflexible attribute revocation, relatively lower computational capabilities, and key management. To address these issues, this paper introduces a revocable and traceable undeniable ciphertext policy attribute-based encryption scheme (MA-RUABE). MA-RUABE not only enables fast and accurate data traceability, effectively preventing malicious user key leakage, but also includes a direct revocation feature, significantly enhancing computational efficiency. Furthermore, the introduction of a multi-permission mechanism resolves the issue of centralization of power caused by single-attribute permissions. Furthermore, a security analysis demonstrates that our system ensures resilience against chosen plaintext attacks. Experimental results demonstrate that MA-RUABE incurs lower computational overhead, effectively enhancing system performance and ensuring data-sharing security in cloud-based electronic healthcare systems.

SOCIALIZATION OF THE USE OF GOOGLE DRIVE AT PUSKESMAS AMBACANG KOTA PADANG

Computer technology has developed significantly, from Windows application programs to increasingly sophisticated data storage media. In the past, we usually stored data using diskettes with small storage sizes, then Flashdisk and Hardisk appeared, until the entry of a new era, namely Cloud storage technology. Cloud technology itself has broad functions, one of which is as an online data storage medium. Like the familiar cloud-based data storage service, Google Drive can store up to 15GB of data for free. In addition to data storage like Google Drive, there is also cloud data storage, such as DropBox, OneDrive, and others. By using Google Drive, users experience many benefits, including being able to share data with those who need data. There is no need to store files on a flash disk or hard disk, where our files are directly stored on Google servers, which can be used at any time, modified. In using Google Drive, many Ambacang Health Center staff do not understand Google Drive. The purpose of holding this Community Service is so that all staff can understand Google Drive how to use it and its features, the results achieved are that all participants understand and understand the use of Google Drive. This socialization has been carried out 2 times, on May 27 and June 17, 2023, with lecture and discussion methods.

Application and practice of data mining techniques

Data mining is a relatively recent phenomenon, but it has emerged as a result of the rapid advancement of information technology and the associated technologies and computer functions. In order to facilitate social production and life, advances in computer data mining, big data, and cloud storage technologies have been made. Data mining, or the process of systematically extracting useful information from large data sets, has many potential applications and can be applied in many different fields. Using a literature review method, this paper defines key terms associated with big data technology and demand, data mining technology, before outlining several widely used techniques for mining this type of information and expanding on the future directions of application in a number of different domains. Values hidden in data are becoming increasingly apparent in the modern world. The growing field of data mining offers significant help in finding a solution to this issue. Exploring the unique content and application practice of data mining technology in the era of big data may provide some reference for social development when taken together with the real situation.

Multi-view aggregation transformer for no-reference point cloud quality assessment

With the increasing maturity of 3D point cloud acquisition, storage, and transmission technologies, a large number of distorted point clouds without original reference exist in practical applications. Hence, it is necessary to design a no-reference point cloud quality assessment (PCQA) for point cloud systems. However, the existing no-reference PCQA metrics ignore the content differences and positional context among the projected images. For this, we propose a Multi-View Aggregation Transformer (MVAT) with two different fusion modules to extract the comprehensive feature representation of PCQA. Specifically, considering the content differences of different projected images, we first design a Content Fusion Module (CFM) to fuse multiple projected image features by adaptive weighting. Then, we design a Bidirectional Context Fusion Module (BCFM) to extract context features for reflecting the contextual relationship among projected images. Finally, we joint the above two fusion modules via Content-Position Fusion Module (CPFM) to fully mine the feature representation of point clouds. Experimental results show that our MVAT can achieve comparable or better performance than state-of-the-art metrics on three open point cloud datasets.

Electronic Neurons for a New Learning Paradigm.

Learning is the cornerstone of the growth and development of human beings. However, traditional learning methods are insufficient to meet the explosive growth of knowledge and information. Repeated training accounts for a large proportion of learning time, which significantly limits the improvement of learning efficiency. Inspired by cloud storage technology, electronic neurons (E-neuron) with functions similar to neurons in the brain are proposed. Implanted E-neurons can form new patterns of neural activity in circuits, including both E-neurons and biological neurons, which can transfer knowledge from electronic cloud devices to human beings without training. Herein, the feasibility of this concept is preliminarily demonstrated. Fiber neural electrodes (FNEs) made of poly(3,4-ethylene dioxythiophene) (PEDOT) modified carbon nanotubes (CNTs) are used to form both dendrites and axons of E-neuron. After the implantation of an E-neuron in a mouse's brain, an electrical neural connection is created between the mitral cell and dorsolateral periaqueductal gray (dlPAG). A piece of knowledge similar to "The red light stops; the green light is all right." is then passed on to the mouse.

The Construction and Application of Dynamic Population Database Based on “Suishenma Code”

The construction and application of dynamic population database based on“Suishenma code”,Based on the community, units, buildings, residential areas, residential buildings and public places existing “changsuo code”. It makes use of image recognition, wireless encryption, big data and cloud storage technology to make it become the terminal of mobile personnel data collection, recognition and processing analysis. Meanwhile, the real-time dynamic matching database of people and houses is recorded and generated to form the corresponding relationship between people and places of activity. The construction of the system mainly covers the interior of buildings such as residential areas, units and houses with intensive human activities, social cases and high incidence of livelihood cases, make up the"Xueliang、 Tianyan、Anke Project" monitoring blind spots, and can be used for the prevention and control of the epidemic and other emergencies trace source and early warning. The construction of this program serves the following areas: Tianyan project, major emergencies, housing management, special crowd management, public publicity, residents services and government services.

Data Immutability Challenges: A Security Analysis of Digital Archiving Systems

This study examines how well ‘cloud computing’ and ‘digital archive resource management’ work in the present time and what advantages they provide. Additionally, it explains a novel approach to using cloud computing by means of blockchain with an appropriate technique for sharing and distributing digital archive contents. The combination of virtualization and cloud storage technologies results in a widely accessible dataset. Specifically, it demonstrates its high security, excellent scalability, and ideality for standardization. This article also investigates the feasibility of implementing the archival bond in a blockchain-based record-keeping infrastructure. To achieve this, it suggests a database backend that preserves the immutability of the blockchain while facilitating metadata updates and improved search capabilities.

Certificateless Remote Data Integrity Auditing with Access Control of Sensitive Information in Cloud Storage

With the spread of cloud storage technology, checking the integrity of data stored in the cloud effectively is increasingly becoming a concern. Following the introduction of the first remote data integrity audit schemes, different audit schemes with various characteristics have been proposed. However, most of the existing solutions have problems such as additional storage overhead and additional certificate burden. This paper proposes a certificateless remote data integrity auditing scheme which takes into account the storage burden and data privacy issues while ensuring the correctness of the data audit results. In addition, the certificateless design concept enables the scheme proposed in this paper to avoid a series of burdens brought by certificates. The scheme designed in this paper provides a data access control function whereby only users who hold a valid token generated by the data owner can access the target data from the cloud. Finally, this paper provides a detailed security proof to ensure the rationality of the results. A theoretical analysis and subsequent experimental verification show that the proposed scheme is both effective and feasible.

Efficient Inverse Model for Cloud Computing and Information Based on the Symmetric Random Matrix

With the continuous development of cloud storage technology, cloud storage has become a new way of storage for both enterprises and individuals. The cloud environment can support users to share data, but it can lead to some malicious users accessing or modifying data by illegal means, so access control is an important way to protect user data. In this paper, we propose a traceable attribute encryption scheme based on signature authentication and based on the information efficient inverse model of an asymmetric random matrix, which can trace the user who leaks information. A user attribute revocation scheme based on improved attribute encryption is also proposed, which enables data owners to reduce computational overhead. In cloud storage access control, the workload of the data owner increases exponentially when facing a high number of user attribute revocation problems, which are jointly decided by the data owner and the authorization center. An error proportional allocation (EPA) calculation method is developed to achieve an optimal estimation of system parameters in the lattice cipher scheme; experimental results show that the scheme has the advantages of shorter parameters, efficient computation, and lower storage load, proving that the scheme is resistant to IND-SAS-CPA under the standard model-based assumption of determining LWE semantic security against IND-SAS-CPA attacks; and it is used in a cloud file sharing (CFS) service framework, which can make sensitive cloud data free from the risk of privacy leakage.

Improved Efficient Privacy-Preserving Certificateless Provable Data Possession Scheme for Cloud Storage

Cloud storage technology is evolving at a high speed; effectively auditing the cloud data’s integrity has become a focal point. Recently, Ming and Shi proposed a certificateless integrity auditing scheme with a privacy protection function. The scheme used the certificateless cryptosystem to solve the certificate management problem of the auditing schemes based on public key infrastructure and the key escrow problem of the identity-based auditing schemes. Although their scheme is novel and efficient, we found that their scheme was not secure and could not achieve integrity auditing of cloud data. The malicious cloud server can generate the proof through the blocks and tags sent by the user. On the basis of the original scheme, we propose an improved auditing scheme; our new scheme is more secure and effective. In addition, for the problem of idle tags in the existing cloud data integrity auditing scheme, we propose the idea of intermediate tags and we applied the idea to the improved scheme to improve audit efficiency.

CORPORATE INFORMATION MANAGEMENT PLATFORM BASED ON E-COMMERCE ENVIRONMENT: IN THE CONTEXT OF ENTREPRENEURSHIP

Addressing the e-commerce environment, this study is designed to validate the feasibility of an enterprise information management platform based on cloud storage technology and system testing. Experimental results show that the platform designed in this article has approximately 195 fluctuating processes per second in the average number of transactions per second, which has a better test effect in terms of business efficiency. In addition, other performance index tests have reached the standard. These include a user authentication time of just 0.96 seconds, a material information input time of 2.54 seconds, a material information query response time of only 0.97 seconds, and a relatively fast response time. This research is expected to provide an efficient information management platform for the entire production process for the sales of the enterprise and encourage the development of business management informatics in Turkey.

Research on Cloud Storage Technology in Digital Campus Big Data Scenario

Realizing campus intelligent management and service mode by combining cloud storage technology is the focus of current research in digital campus construction work. By analyzing the IT development trend of digital campus, the defective problems of traditional storage system, from the architecture design and platform construction of cloud storage system for digital campus, we propose a cloud storage construction scheme for campus big data scenario, and discuss the application of virtualization, streamlined configuration, storage optimization and other technologies in cloud storage. The cloud storage technology is applied in the construction of digital campus, which strongly accelerates the process of digital campus informatization.

Design of Cloud Storage-Oriented Sports Physical Fitness Monitoring System.

In order to improve the accuracy and response speed of sports fitness monitoring results and make the monitoring results more comprehensive, a new cloud storage-oriented sports fitness monitoring system is designed. Based on cloud storage technology, the overall framework of the sports fitness monitoring system is established; the function of the hardware module of the monitoring system is analyzed, and distributed database is established. The ray-casting image feature scanning method was used to collect the physical condition monitoring image and generate a high-quality human body target frame to realize the physical condition monitoring. Based on the monitoring data, the fitness method recommendation method is designed according to the user's physical condition. The experimental results show that the monitoring results of the proposed system have higher accuracy, faster system response speed, and higher comprehensiveness of the monitoring results, which verifies the application value of the proposed system.

English Multimedia Online Teaching Resource Processing System Based on Intelligent Cloud Platform

In order to improve the quality of online English teaching, starting from English online teaching resources, this paper applies cloud computing technology to the teaching resource integration process to design a comprehensive cloud storage control method based on user habits. Moreover, this paper uses the user habit extraction algorithm to extract the user’s habit information and then realizes the control of cloud storage with the help of these habit information. After that, the system can realize intelligent management of cloud storage in space by analyzing the information and converting it into corresponding cloud storage control instructions. In addition, this paper constructs an integrated system of English multimedia network teaching resources under the support of cloud storage technology. Finally, this paper uses simulation experiments to verify that the integrated system of English multimedia network teaching resources based on cloud storage has a good effect.