Backup Research Articles

USV Fleet-Assisted Collaborative Data Backup in Marine Internet of Things

USV Fleet-Assisted Collaborative Data Backup in Marine Internet of Things

Structural equations modeling for the entry into becoming a sport sponsorship of the halal product in Thailand

This research study aims 1) to create a structural equation model for sports sponsorship of halal products in Thailand and 2) to examine the direct and indirect influence of variables that are components of the structural equation model for halal products, specifically in the context of becoming a sports sponsorship for halal products in Thailand. The study focused on a sample group of Thai Muslims interested in watching and following the news and participating in Thai sporting events. The researcher chose a sample size of 400 participants from this population, excluding backup data gathering and data analysis, to ensure the questionnaire’s quality and dependability. The results of the data analysis from the structural equation model created show that it is consistent with empirical data. The results of the statistical hypothesis test reveal that the level of religious adherence and the level of awareness of entering into sponsorship have both direct and indirect influences on consumer attitudes and purchase intentions with statistical significance at 0.01. It can also be identified that if a sponsor increases awareness among Muslim viewers through branding or product presentations in events that feature halal symbols or indicate compliance with religious standards, it will lead to a more positive attitude and higher purchase intentions. This insight can be applied to marketing promotion in administrative regions or countries where the majority of the population is Muslim.

High‐speed end‐to‐edge data caching and forwarding architecture based on field programmable gate array

AbstractThe application of the Internet of Things generates massive end‐device data. Traditional end‐to‐edge data caching methods lack parallelism, consume numerous resources, and lack data backup mechanisms. We propose a lightweight high‐speed data caching and forwarding architecture based on a field‐programmable gate array. In the basic scheme, a double‐data‐rate memory read/write mixed control method is proposed to efficiently cache massive amounts of data. To improve reliability, we propose address‐space virtualization to forward data to backup devices. To satisfy the demand for higher performance scenarios, we propose a real‐time data shunting mechanism to realize an optimized scheme that supports higher data rates. These two schemes support single‐link high‐speed data caching and forwarding at 10 and 40 Gbps. Compared with the existing method, the basic and optimized schemes improve the performance by 25% and four times and save 66% and 40% of the resources, respectively. Thus, we provide a lightweight and reliable high‐performance end‐to‐edge data caching solution for resource‐constrained edge devices.

Advancements in AI-Driven Disaster Recovery: Predictive Failure Detection and Automated Data Protection

This article explores the transformative impact of artificial intelligence (AI) on disaster recovery systems in information technology. It examines how AI-driven solutions are revolutionizing traditional approaches to data protection and business continuity through advanced predictive analytics, automated backup mechanisms, and intelligent recovery processes. The research highlights the significant improvements achieved in recovery times, with some implementations reporting up to 60% faster recovery compared to conventional methods. Key aspects discussed include AI-powered predictive failure detection, automated data backup mechanisms, and the acceleration of recovery times. The article also delves into the enhancement of data availability through AI-driven replication strategies and intelligent failover mechanisms, emphasizing their critical role in maintaining operational resilience. Additionally, it addresses the challenges and considerations in implementing these advanced systems, including integration with existing infrastructure and the necessary adaptation of IT personnel. The article concludes by exploring future directions in AI algorithms for disaster recovery, potential integrations with cloud-based solutions, and the broader applications of these technologies across various industries. This comprehensive analysis underscores the pivotal role of AI in shaping the future of disaster recovery and business continuity strategies in an increasingly digital world.

Effective Archival of Salesforce Stale Data: A Strategy for System Optimization and Cost Efficiency

This paper explores the importance of archiving stale data in Salesforce and how implementing an ongoing archival process helps maintain accurate, up-to-date information while optimizing system performance and reducing storage costs. As businesses generate vast amounts of data daily, the accumulation of outdated information can slow system operations, increase storage costs, and lead to data inaccuracies. The paper will outline best practices for Salesforce data archival, including soft archival strategies, hard deletion, data backup procedures, and integration precautions. Examples of account data archival, key performance indicators (KPIs), and cost-saving opportunities will be discussed, along with recommended tools and methods for successful data management. Keywords Salesforce, Data Archival, Stale Data, Data Backup, Soft Archival, Data Management, System Optimization, Cost Savings, AWS Backup, OwnBackup, Salesforce Queries

ChronoBak: Automated cost-effective incremental backup software for large-scale data

Background: Data backup is an important component of data protection and management. It is especially imperative to back up large-scale data to guard against losses due to hardware failure, unauthorized access, software/system malfunction, and unintended deletion. However, businesses and organizations suffer from the financial investment required for data backup and recovery systems. Health-care systems suffer from data breaches and hacking incidents, which increase annually. Therefore, a cost-effective and highly secure backup approach is necessary. Methods: Seven different backup scripts were written in bash within Linux, and Crontab was used as the core chronological scheduler to execute the backup scripts on specific dates and times. These bash scripts, together with Crontab as their scheduler, were used to implement automated incremental backups on a Unix/Linux-based system. Results: ChronoBak is a collection of bash scripts that are compiled and executed through Crontab, which is a standard Unix/Linux function used to schedule hourly, daily, weekly, and monthly maintenance routines using Linux scripts. This strategy enabled us to implement cost-effective incremental backups within any time range. Conclusion: We developed ChronoBak software, which executes an automated incremental backup that is scheduled efficiently and systematically using standard and hidden directories, thereby providing an additional layer of security against cyber threats and system malfunctions.

Construction of Hydrogen Fuel Backup Power Supply System based on Data Communication Technology

The study presents a comprehensive examination of integrating hydrogen gas cells into backup electricity systems, strengthened by superior records verbal exchange technologies. This modern approach targets to address the growing interest for reliable and sustainable strength sources within the context of developing issues about environmental sustainability and the restrictions of traditional fossil gasoline-based totally power structures. On the middle of this studies is the improvement of a hydrogen gasoline cellular-based totally backup strength device. Hydrogen fuel cells, regarded for his or her excessive strength performance and low environmental impact, offer a promising opportunity to standard energy resources. The device leverages the inherent advantages of hydrogen as a clean strength carrier, making sure reduced carbon emissions and greater energy safety. A giant component of this have a look at is the combination of contemporary data communication generation. This integration facilitates real-time tracking and control of the electricity gadget, ensuring surest performance and reliability. Advanced statistics analytics are hired to are expecting energy demand, reveal gas cell health, and optimize the machine’s operation. This approach no longer handiest complements the performance of the energy supply but also ensures a unbroken transition between the number one energy supply and the backup device at some point of outages. The studies methodology encompasses a blend of theoretical analysis and realistic experimentation. Simulation models are used to test the device’s efficacy underneath numerous scenarios, followed via a prototype implementation to validate the theoretical findings. The look at also explores the monetary viability and scalability of the proposed machine, making it relevant for big adoption.

An Analysis of Managing the Cloud: Obstacles and Solutions for Efficient Administration and Protection

Cloud management offers possibilities and difficulties to enterprises looking for effective management and strong data security. This essay examines the challenges associated with cloud administration and suggests workarounds for these issues. Assuring data security, upholding legal compliance, cutting expenses, and overseeing intricate multi-cloud setups are important obstacles. The use of cloud-native monitoring and governance tools, the implementation of extensive data backup and recovery plans, the use of automation for resource provisioning and administration, and the implementation of strong security measures like encryption and access restrictions are all necessary for finding solutions. Organizations may improve the security of their important data assets and expedite their cloud administration procedures by tackling these challenges with suitable solutions. Ensuring data security is a major concern in cloud administration. Organizations are concerned about data breaches, illegal access, and industry regulatory compliance when they move critical data to the cloud. Organizations need to have strong security mechanisms like identity management, access restrictions, and encryption in place to lessen these risks. Furthermore, implementing a defense-in-depth strategy that incorporates several security tiers might improve cloud environments' overall resilience. Upholding legal requirements and industry norms is another challenge for cloud managers. To secure sensitive data and uphold client confidence, businesses in regulated sectors like healthcare and finance are subject to strict compliance regulations. Adherence to frameworks like HIPAA, GDPR, and PCI DSS, as well as thorough policies and frequent audits are necessary to achieve compliance in the cloud. Organizations may minimize the risk of non-compliance penalties and expedite compliance processes by putting governance tools and compliance automation systems into place. For enterprises using cloud resources, cost optimization is another major concern. Pay-as-you-go cloud services might result in overspending and financial restrictions due to improper resource utilization.

B2DFL: Bringing butterfly to decentralized federated learning assisted with blockchain

We propose a novel decentralized federated learning framework called B2DFL. It decomposes the aggregation process of vanilla FL into layered and serialized sub-aggregation processes and offloads the communication and computation from a single point to distributed nodes, thus addressing the single point of failure issue in centralized FL. The decentralization of B2DFL is based on the Butterfly, a distributed network topology, to organize and orchestrate the order and rules of node aggregation. Additionally, to mitigate potential risks such as dropouts or tampering, we leverage the blockchain and IPFS systems. Specifically, after each node completes its computation (including training and aggregation), it generates a hash value of the results as proof. We maintain a Tamper-evident Data Structure (TDS) on the blockchain, which records these proofs to ensure tamper-proofing and fast verification. To reduce the storage burden on the blockchain and improve throughput, we store the aggregated results on IPFS, a system that enables quick data location through hash values of data, for data backup. We also design a node replacement mechanism for quick dropout handling. We conduct a comprehensive performance evaluation and experimental results demonstrate that B2DFL presents a significant performance improvement while achieving privacy and decentralization.

A Novel Authenticated Quantum Anonymous Secret Sharing for Classical and Quantum Information

AbstractAnonymous secret sharing (ASS) is an essential cryptographic concept that facilitates the sharing and reconstruction of secret information while safeguarding the identity of the involved secret receivers, which has broad applications in key management, data backup, and distributed systems. In this study, a novel authenticated quantum anonymous secret sharing (QASS) protocol that emphasizes information privacy and identity anonymity protection is proposed. Employing ‐level multipartite GHZ states as a quantum resource, one‐sided anonymous entanglement (AE) is innovatively established between the dealer and anonymous receivers, enabling the dealer to distribute a random share of secret information. Additionally, by establishing a one‐sided AE between anonymous receivers and restorer, the restorer can securely collect and reconstruct the secret information using quantum teleportation (QT). Rigorous security analysis demonstrates that protocol can resist attacks from active adversaries and potentially dishonest users. Quantum experiments on IBM Qiskit validate the correctness and feasibility of the proposed QASS protocol. This work contributes to the advancement of quantum anonymous communication, addressing the requirements for information privacy and identity anonymity in practical application environments.

Best Practice of Moodle Implementation for E-Learning: A Perspective of Public University Lecturers

Moodle is a popular open-source learning management system (LMS) used for online learning and course management. It provides educators with tools to create online courses, manage learning content, track student progress, conduct assessments, and facilitate communication and collaboration among students and instructors. Moodle is widely used in educational institutions, corporate training settings, and various other learning environments around the world. The aim of this article was to study the best practices for implementing Moodle in e-learning, as perceived by public university lecturers. This study employed a qualitative approach, utilizing Focus Group Discussions (FGDs) among lecturers from public universities. All data were meticulously transcribed and subsequently analyzed thematically. The results show, experts agreed that three best practices were i) Optimizing the task of e-learning manager, ii) Utilize the restriction option to uphold student integrity and, iii) Implementing regular data backups. Therefore, this study enriches the field by providing practical recommendations for implementing Moodle, drawing from the insights of public university lecturers.

Integrated Home Energy Management with Hybrid Backup Storage and Vehicle-to-Home Systems for Enhanced Resilience, Efficiency, and Energy Independence in Green Buildings

This study presents an innovative home energy management system (HEMS) that incorporates PV, WTs, and hybrid backup storage systems, including a hydrogen storage system (HSS), a battery energy storage system (BESS), and electric vehicles (EVs) with vehicle-to-home (V2H) technology. The research, conducted in Liaoning Province, China, evaluates the performance of the HEMS under various demand response (DR) scenarios, aiming to enhance resilience, efficiency, and energy independence in green buildings. Four DR scenarios were analyzed: No DR, 20% DR, 30% DR, and 40% DR. The findings indicate that implementing DR programs significantly reduces peak load and operating costs. The 40% DR scenario achieved the lowest cumulative operating cost of $749.09, reflecting a 2.34% reduction compared with the $767.07 cost in the No DR scenario. The integration of backup systems, particularly batteries and fuel cells (FCs), effectively managed energy supply, ensuring continuous power availability. The system maintained a low loss of power supply probability (LPSP), indicating high reliability. Advanced optimization techniques, particularly the reptile search algorithm (RSA), are crucial in enhancing system performance and efficiency. These results underscore the potential of hybrid backup storage systems with V2H technology to enhance energy independence and sustainability in residential energy management.

Novel Use of Concentrated Solar Thermal Energy for Producing Highly Thermal Activated Materials for CCUS via Mineral Carbonation of Mine Waste

An assessment of the levelised cost and associated CO2-eq emissions for the thermal activation of serpentine mine tailings to be used as activated feedstock for CCUS processes via mineral carbonation, is reported here for the first time. Two main technological scenarios were assessed, based on either direct fuel sources heating (natural gas and hydrogen) or indirect, CST-based heating with a back-up burner and storage to provide continuous operations, for a 200 ton/hr of processed ore and a targeted roasting ore temperature of 700°C. For CST-based systems, 3 different solar input scales, namely 50, 150 and 450 MWth, were considered, and simulations performed over a year timeline with a 10 minutes time step, using Mt Keith Nickel mine in Western Australia as the reference location. The analysis highlighted that the proposed CST-hybrid plant layout can achieve similar cost to that of fuel-only cases with current Australian fuel prices for natural gas and hydrogen, with lower CO2-eq emissions, and a parity cost with fuel-only scenarios of some 16 USD/GJ. The proposed CST-hybrid plant layout was also identified as the potential, preferred route over direct CST routes to achieve 24/7 continuous heat supply while retaining fine tuning of activation temperature, given a very narrow temperature window of activation for the chosen mine tailings for mineral carbonation processes.

Disaster Recovery of Near Field Communication (NFC) Systems

This paper explores the vulnerabilities inherent in NFC systems and presents a comprehensive disaster recovery framework designed to enhance resilience. By reviewing existing literature on disaster recovery, analyzing past failures of NFC systems, and proposing strategies such as data backups, real-time monitoring, and blockchain integration, this study aims to bolster the reliability of NFC systems and ensure their continued operation during crises.

Application of VDI Virtual Desktop Cloud-Based Computer Room Construction in Universities

Traditional computer rooms face challenges such as difficulties in hardware updates and maintenance, complex software licensing management, and cumbersome data backup and recovery. These issues have posed significant challenges to the informationization construction in universities. However, the construction of computer rooms based on VDI (Virtual Desktop Infrastructure) virtual desktop cloud can effectively address these problems and provide a more reliable, efficient, and flexible overall solution for the informationization construction in universities. Therefore, this paper will explore in-depth the application of VDI virtual desktop cloud-based computer room construction in universities.

Nonlinear Quadratic Programming Algorithm Modelling for Operation of The Off-Grid Energy Resources System with Backup Storage System

Nonlinear Quadratic Programming Algorithm Modelling for Operation of The Off-Grid Energy Resources System with Backup Storage System

A Higher Performance Data Backup Scheme Based on Multi-Factor Authentication.

Remote data backup technology avoids the risk of data loss and tampering, and has higher security compared to local data backup solutions. However, the data transmission channel for remote data backup is not secure, and the backup server cannot be fully trusted, so users usually encrypt the data before uploading it to the remote server. As a result, how to protect this encryption key is crucial. We design a User-Centric Design (UCD) data backup scheme based on multi-factor authentication to protect this encryption key. Our scheme utilizes a secret sharing scheme to divide the encryption key into three parts, which are stored in the laptop, the smart card, and the server. The encryption key can be easily reconstructed from any two parts with user's private information password, identity and biometrics. As long as the biometrics has enough entropy, our scheme can resist replay attacks, impersonation user attacks, impersonation server attacks, malicious servers and offline password guessing attacks.

Pengembangan Sistem Informasi Penjadwalan dan Monitoring Backup Data Berbasis Web

This research aims to facilitate the admins of the Business Partner Department and IT Services at PT. Pupuk Sriwidjaja Palembang in searching for data, backing up data, and scheduling data in an organized manner. To support this convenience, the author has developed a web-based infrastructure backup data portal system, utilizing a MySQL database. This system can be used to manage network data, website data, as well as data reports or archives. The research method employed is the Waterfall method, which consists of several stages: analysis, design, implementation, testing, and maintenance. Data collection methods included interviews and observations. The result of this research is a website that enhances the performance of the admins of the Business Partner Department and IT Services at PT. Pupuk Sriwidjaja Palembang in managing company data.

APLIKASI PENGAMANAN DATA METODE RIVEST SHAMIR ADLEMEN DAN ADVANCE ENCRYPTION STANDARD (STUDI KASUS PT. BESS FINANCE CABANG TALAGA KAB. MAJALENGKA)

The rapid development of information technology has made news a basic need for everyone. Information is also important for a company. because information can help a company to continue to grow in world competition. Problems that occur in the data security process at the company if there is damage and loss of data on a computer or laptop, the company's data will be threatened if there is no data backup on company data and will cause big losses for the company. One way to secure data or information from damage and loss on computers and laptops is to use the concept of cryptography. After testing, if there is damage to the computer, the administrator can make it easier to secure important company data and the system can successfully encrypt and decrypt and back up important files using the Rivest Shamir Adleman Method and Advance Encryption Standard and the results are in accordance with what is needed, the system can manage the data files you want to save. secure it well.

Multi-level authentication for security in cloud using improved quantum key distribution

ABSTRACT Cloud computing is an on-demand virtual-based technology to develop, configure, and modify applications online through the internet. It enables the users to handle various operations such as storage, back-up, and recovery of data, data analysis, delivery of software applications, implementation of new services and applications, hosting websites and blogs, and streaming of audio and video files. Thereby, it provides us many benefits although it is backlashed due to problems related to cloud security like data leakage, data loss, cyber attacks, etc. To address the security concerns, researchers have developed a variety of authentication mechanisms. This means that the authentication procedure used in the suggested method is multi-levelled. As a result, a better QKD method is offered to strengthen cloud security against different types of security risks. Key generation for enhanced QKD is based on the ABE public key cryptography approach. Here, an approach named CPABE is used in improved QKD. The Improved QKD scored the reduced KCA attack ratings of 0.3193, this is superior to CMMLA (0.7915), CPABE (0.8916), AES (0.5277), Blowfish (0.6144), and ECC (0.4287), accordingly. Finally, this multi-level authentication using an improved QKD approach is analysed under various measures and validates the enhancement over the state-of-the-art models