Cloud-based Data Storage Research Articles

Distributed Cloud Computing and Mobile Cloud Computing: A Review

Cloud-based data storage has grown in popularity due to its flexibility and concerns about security and confidentiality. In computer science, cloud computing is a relatively new concept. Users are using fewer resources while increasing their reliance on cloud resources. Cloud computing, mobile computing, and wireless networks are combined in Mobile Cloud Computing (MCC). On the other hand, Mobiles provide vast computational resources to mobile consumers due to their capabilities. On the other hand, cloud computing refers to data centers that are accessible via the Internet to a large number of people. The purpose of this paper is to provide an overview of cloud computing and mobile cloud computing. The study covers delivery and deployment models of cloud computing and the main features of mobile cloud computing.

Pollution Severity Monitoring of High Voltage Transmission Line Insulators Using Wireless Device Based on Leakage Current Bursts

The present article describes a smart wireless online device for the severity monitoring of the contaminated insulators of high voltage transmission networks. Accordingly, the wireless developed monitor works by continuously sensing the magnitudes of the leakage current bursts and calculating its average root-mean-square (RMS) value at every second or minute as the monitor software is calibrated. Regarding, if the average of the leakage current RMS value is adjudicated by the monitor as corresponding to a probably significant scale of a power outage, the monitor transfers an alarm signal and sends a warning message to the maintenance crew members to take the action to wash the high voltage line insulators on time before the unexpected outage of the high voltage network has been occurring. The developed monitor contains the following main units: current transformer with burden resistor, Node MCU (ESP8266), solar power bank, cloud-based data storage, and smart device (Mobile or tablet). These units can be assembled to work without the need for a power source. The proposed monitor has the following merits if it is compared with the other monitoring devices: it enjoys little cost, easy of handling and calibration. It has a high degree of safety, it is an online system, and its design is simple. The developed monitor is tested in the Laboratory using insulators with different pollution layers’ conductivity and the findings show that the accuracy of the proposed monitor reached 91.66 % after carrying out 50 tests.

AN APPROACH TOWARD STANDARDIZATION OF EMR WITH EFFICIENT ACCESSIBILITY OF DATA ON DEMAND

Among the most often discussed topics in the healthcare industry are medical terminology standardization and the establishment of a centralized electronic medical record (EMR). There is a wide range of information in patient master records and treatment statistics records, as well as a dynamic data structure. Over time, the number of records has increased at a rapid rate, resulting in a large volume of data that necessitated the implementation of a structured data base management system. Even while data science and analytics have the potential to alleviate the problem of data management, the lack of confidence in cloud-based data storage may become a big issue in the future. For improved storage management, these records may be preserved, and they may be replicated over different clouds or maintained in a distributed way for increased security and reliability. Medical data generated by wearable medical devices or portable devices used by home care patients, on the other hand, may be connected to several cloud servers in order to improve accessibility and security. For data accessibility and security, the proposed system will build a generic medical record management system that will be deployed across various clouds. It will also design a Body Area Network (BAN) architecture that will be connected to a distributed cloud

CURRENT PERSPECTIVES OF DNA BARCODING IN BOSNIA AND HERZEGOVINA THROUGH BOLD DATABASE

UDK: 577.212:574]:007.5(497.6)
 DNA barcoding is a method designed to provide rapid and precise species identifications by using one or more of short gene sequences called barcodes. In most plant and fungi studies, the standard barcodes of choice are three plastid (rbcL, matK and trnH-psbA) and one nuclear (ITS) gene regions. The relatively high, but comparatively conserved rate of sequence evolution of mtDNA has made COI the marker of choice in animals. BOLD is a freely available cloud-based data storage and analysis platform developed with the aim to advance biodiversity science through DNA barcoding species identification. To date, over 6 million barcodes have been deposited in BOLD with 196,000 animal species, 68,000 plant species and 22,000 species of fungi and other organism entries. In this database, there are currently 447 entries for organisms from Bosnia and Herzegovina, which makes 0.0067% of the total number of BOLD entries. According to BOLD statistics, only 1.11% of all organism entries from B&H were submitted by B&H institutions.
 Despite the fact that Bosnia and Herzegovina has valuable natural resources with a high percentage of endemic and autochthonous species, BOLD statistics elucidated the lack of coordinated and systematic DNA barcoding research so far. It is necessary to establish continuous progress of molecular-genetic characterization of these resources in the future. It is up to B&H institutions to decide if they want to continue the practice of submitting the data sporadically or if they will animate the research community to actively participate in this global project.

INNV-41. MY STORI – A SYMPTOM TRACKING AND REPORTING INSTRUMENT MOBILE APPLICATION FOR BRAIN TUMOR PATIENTS

Abstract INTRODUCTION Managing symptom burden is an integral part of brain tumor patient care, but tools to facilitate tracking symptoms and self-management for this population are lacking. Reporting is often limited to self-report as part of clinical follow-up care, or episodic between visits if symptoms are severe. While general-purpose and cancer-specific mobile applications that track medical symptoms are becoming more prevalent, they may not cover the entire range of symptoms experienced by patients with brain tumors or allow tracking of self-management strategies. METHODS We developed an iOS operating system mobile application using Apple’s UIKit, Foundation, WebKit, and Core Graphics frameworks. Core Data and iCloud were used to implement local and cloud-based data storage for personal use. Findings from our Outcomes Surveys informed selection of core symptoms to track. A multidisciplinary team of neuro-oncology scientists, providers, and communication specialists developed self-care content from evidence-based sources. RESULTS We developed My STORI, a free mobile application to capture the experiences of brain tumor patients. Patients and their family members can track daily symptoms and their impact on function and record any actions that were taken to mitigate them. Evidence-based self-care information on how to recognize, manage, and report symptoms is provided. Graphical summaries of how these symptoms evolve over time, and how they are impacted by clinical appointments, treatment, and self-care activities can be displayed and compiled into reports that can be shared with their care team, family, or health care record. CONCLUSIONS Mobile applications have the potential to promote self-care, facilitate symptom management, and enable intuitive, frequent, and convenient reporting of clinically relevant data to the health-care team. The My STORI application is an innovation in patient care guided by evidence-based research and can be used to track symptom management, promote self-care, and enhance communication to improve clinical care and research.

Cloud based EDoS Attack Prevention System Using Dual Access Control Mechanism

Cloud based data storage is becoming very popular nowadays as one can easily download any document from anytime and anywhere. However documents security is very important in cloud storage as cloud is a third party server which can be accessed by administrators. There are many literatures available to improve document security on cloud and most of the literatures proposed various data encryption techniques. However, simply encrypting data (e.g., via AES) cannot fully address the practical need of data management. Besides, an effective access control over download request also needs to be considered so that Economic Denial of Sustainability (EDoS) attacks cannot be launched to hinder users from enjoying service. In this project, we consider the dual access control, in the context of cloud-based storage, in the sense that we design a control mechanism over both data access and download request without loss of security and efficiency. Along with dual access control we also focus on document security by using modified AES algorithm.

Tailoring Unsymmetrical-Coordinated Atomic Site in Oxide-Supported Pt Catalysts for Enhanced Surface Activity and Stability.

The catalytic properties of supported metal heterostructures critically depend on the design of metal sites. Although it is well-known that the supports can influence the catalytic activities of metals, precisely regulating the metal-support interactions to achieve highly active and durable catalysts still remain challenging. Here, the authors develop a support effect in the oxide-supported metal monomers (involving Pt, Cu, and Ni) catalysts by means of engineering nitrogen-assisted nanopocket sites. It is found that the nitrogen-permeating process can induce the reconstitution of vacancy interface, resulting in an unsymmetrical atomic arrangement around the vacancy center. The resultant vacancy framework is more beneficial to stabilize Pt monomers and prevent diffusion, which can be further verified by the density functional theory calculations. The final Pt-N/SnO2 catalysts exhibit superior activity and stability for HCHO response (26.5 to 15ppm). This higher activity allows the reaction to proceed at a lower operating temperature (100°C). Incorporated with wireless intelligent-sensing system, the Pt-N/SnO2 catalysts can further achieve continuous monitoring of HCHO levels and cloud-based terminal data storage.

Implementasi Teknologi Blockchain Proof of Work Pada Penelusuran Supply Chain Produk Komputer

In recent times, the supply chain has developed into a large ecosystem. Various products moving from party to party require cooperation between stakeholders in managing the data generated. The problem is that every company has its own transaction records that can be inconsistent and their storage is centralized and not integrated between companies. This makes transaction records easy to falsify. Efficient data management is needed from the producer to the store so that consumers can trust the product. Therefore, the authors designed a product tracking system using blockchain by implementing proof of work (PoW) as the consensus algorithm, SHA-3 256 as data security, Mongo database as cloud-based data storage and QR Code as the output. As a result, transaction data from producers, distributors to retail stores are stored completely in MongoDB which is a cloud-based database, then the resulting QR Code can be used to view details of producers, distributors to retail stores that sell them. The simulation and trial results show the product tracing system design is successful as expected.

73-LB: Continuous Glucose Monitoring Utilization and Associated Metrics in People with Diabetes on Insulin Therapy in the U.S.

Background: Continuous glucose monitoring (CGM) systems generate real-time information on blood glucose trends in PwD, providing regular feedback that may help inform care decisions. This study aimed to describe real-world CGM use and CGM-derived glucometrics in insulin-using PwD. Methods: Data for adults (≥18 years) with T1D and T2D using insulin therapy and CGM were identified from Glooko’s cloud-based data storage and linked with Decision Resources Group™ Real-World Evidence repository (Jan 1, 2015-Jul 30, 2019). Summary statistics on 1-year aggregated CGM data and glucometrics are presented. Results: Over one year, CGM data were uploaded on average 215.7 days (59%) for people with T1D (n = 4896) and 191.5 days (52%) for people with T2D (n = 582). Among people with T1D and T2D, time in range (TIR) was 59.9% and 62.6%, coefficient of variation (CV) was 36.0% and 30.7%, time above range (TAR; level 2) was 13.3% and 12.2%, and time below range (TBR; level 2) was 0.8% and 0.3%, respectively (Table1). Conclusion: In this sample of PwD using insulin, level 2 TBR and CV were within the international consensus guideline recommendations, but TIR was below the recommended 70%, potentially driven by time spent in level 2 TAR. There is still an unmet clinical need for PwD to achieve guideline recommended targets; advancements in medications and technologies may help to achieve these goals. Disclosure M. Perez-nieves: Employee; Self; Eli Lilly and Company. R. Juneja: Employee; Self; Eli Lilly and Company. E. R. Hankosky: Employee; Self; Eli Lilly and Company, Stock/Shareholder; Self; Eli Lilly and Company. L. Fan: Employee; Self; Eli Lilly and Company, Stock/Shareholder; Self; Eli Lilly and Company, Stock/Shareholder; Spouse/Partner; Eli Lilly and Company. F. Gelsey: Employee; Self; Eli Lilly and Company, Stock/Shareholder; Self; Eli Lilly and Company. E. L. Eby: Employee; Self; Eli Lilly and Company, Stock/Shareholder; Self; Eli Lilly and Company. T. J. Sims: Employee; Self; Eli Lilly and Company. E. Umeh: None. M. Betts: None. C. Lavallee: None. Funding Eli Lilly and Company

Application of DenTeach in Remote Dentistry Teaching and Learning During the COVID-19 Pandemic: A Case Study.

In December 2019, an outbreak of novel coronavirus pneumonia occurred, and subsequently attracted worldwide attention when it bloomed into the COVID-19 pandemic. To limit the spread and transmission of the novel coronavirus, governments, regulatory bodies, and health authorities across the globe strongly enforced shut down of educational institutions including medical and dental schools. The adverse effects of COVID-19 on dental education have been tremendous, including difficulties in the delivery of practical courses such as restorative dentistry. As a solution to help dental schools adapt to the pandemic, we have developed a compact and portable teaching-learning platform called DenTeach. This platform is intended for remote teaching and learning pertaining to dental schools at these unprecedented times. This device can facilitate fully remote and physical-distancing-aware teaching and learning in dentistry. DenTeach platform consists of an instructor workstation (DT-Performer), a student workstation (DT-Student), advanced wireless networking technology, and cloud-based data storage and retrieval. The platform procedurally synchronizes the instructor and the student with real-time video, audio, feel, and posture (VAFP). To provide quantitative feedback to instructors and students, the DT-Student workstation quantifies key performance indices (KPIs) related to a given task to assess and improve various aspects of the dental skills of the students. DenTeach has been developed for use in teaching, shadowing, and practice modes. In the teaching mode, the device provides each student with tactile feedback by processing the data measured and/or obtained from the instructor's workstation, which helps the student enhance their dental skills while inherently learning from the instructor. In the shadowing mode, the student can download the augmented videos and start watching, feeling, and repeating the tasks before entering the practice mode. In the practice mode, students use the system to perform dental tasks and have their dental performance skills automatically evaluated in terms of KPIs such that both the student and the instructor are able to monitor student’s work. Most importantly, as DenTeach is packaged in a small portable suitcase, it can be used anywhere by connecting to the cloud-based data storage network to retrieve procedures and performance metrics. This paper also discusses the feasibility of the DenTeach device in the form of a case study. It is demonstrated that a combination of the KPIs, video views, and graphical reports in both teaching and shadowing modes effectively help the student understand which aspects of their work needs further improvement. Moreover, the results of the practice mode over 10 trials have shown significant improvement in terms of tool handling, smoothness of motion, and steadiness of the operation.

The Design and Implementation of a Dashboard Web-Based Video Surveillance in OpenStack Swift

Abstract The purpose aims at deploying a fully functional OpenStack cluster with different settings and operational environments, followed by an in-depth analysis of its network performance and explanation of what happens behind the scene. Where OpenStack Virtual Machines perform these services for data storage files are stored in an authenticated cloud storage service center. The methodology used presents various scenarios using OpenStack Virtual machines and cloud-based to improve network performance video surveillance backend system architecture is developed with the Sensor web Enablement framework and cloud-based data storage. Data is obtained through simulators on camera/edge devices, file and metadata sharing, and fast cloud base storage. This study aims to compare the performance load resulting from large-scale video surveillance with small ones to show satisfactory performance, scalability, and good reliability from cloud-based storage systems for smart MCS. The most important feature is storage is adjusted dynamically, and there won’t be any worry about space being inadequate or wasted. This paper presents a solution for deploying web applications for CCTV video surveillance, an object cloud storage service system based on the open-source cloud operating system OpenStack Swift. It’s working in the OpenStack swift on IaaS and allocates resources for storage original data by multiple camera surveillance (MCS).

Informatyka kryminalistyczna w kontekście usług przechowywania danych w chmurze obliczeniowej

The role and capabilities of digital forensics in the cloud computing environment still remain an unsolved and insufficiently explored scientific area. The growing popularity of cloud-based data storage services makes recovery of evidence on the Internet a major challenge for forensic IT exminers. Existing legal barriers in most cases prevent direct access to cloud stored resources for the purpose of recovering data. In many situations, assistance from foreign law enforcement and judicial authorities is required. Findings made during forensic IT analysis that allow reconstructing user’s activities and indicate the act of taking advantage of cloud computing data storage is a justification for undertaking international cooperation. Therefore, it is important to know potential sources of information that enable the reconstruction of the activity of the user in cloud computing services, as well as the awareness of the current state of knowledge and scientific research in this field.

Basketball Player On-Body Biophysical and Environmental Parameter Monitoring Based on Wireless Sensor Network Integration

Sport activities have benefited in recent years from the progressive adoption of different technological assets in order to improve individual as well as group training, collect different statistics or enhance the spectator experiences. The progressive adoption of Internet of Things paradigms can also be considered within the scope of sport activities, providing high levels of user interactivity as well as enabling cloud-based data storage and processing. In this work, a system for monitoring biophysical, kinematic and environmental parameters within the development of basketball training is presented. A set of on-body nodes with multiple sensors and wireless body area network capabilities have been designed, implemented and tested under real training conditions during a match. Wireless channel analysis results have been obtained with the aid of in house implemented deterministic 3D ray launching algorithm, providing accurate coverage/capacity estimations in relation with human body consideration in the field as well as in the stadium. Measurement results give relevant information in relation with individual player characteristics as well as with team characteristics, providing a flexible tool to improve training development of basketball.

A Novel Big Data Index Architecture for Programming Environment

With the rapid development of computer information technology and the upgrading of programming software, the types and number of project codes are growing rapidly, showing typical characteristics of large data such as massive, instantaneous, diverse and variable. The distributed column storage database HBase based on the Hadoop big data platform, has the characteristics of high reliability, high performance, column-oriented, and scalability. It also has good scalability, can store more than ten billions of data, and is suitable for large-scale data reading and writing, which takes advantages in processing large-scale unstructured and semi-structured software data on the programming site. So, this paper studies the big data index architecture in the programming field. In view of the low efficiency of HBase non-primary key attribute query, the inverted index is a natural platform for cloud-based big data storage and query in this large development site. Based on this advantage, this paper designs and optimizes the secondary index architecture based on the HBase for programming field big data inverted index.

Cloud Computing Mobile Application for Remote Monitoring of Bell\u2019s Palsy

Mobile applications provide the healthcare industry with a means of connecting with patients in their own home utilizing their own personal mobile devices such as tablets and phones. This allows therapists to monitor the progress of people under their care from a remote location and all with the added benefit that patients are familiar with their own mobile devices; thereby reducing the time required to train patients with the new technology. There is also the added benefit to the health service that there is no additional cost required to purchase devices for use. The Facial Remote Activity Monitoring Eyewear (FRAME) mobile application and web service framework has been designed to work on the IOS and android platforms, the two most commonly used today. Results: The system utilizes secure cloud based data storage to collect, analyse and store data, this allows for near real time, secure access remotely by therapists to monitor their patients and intervene when required. The underlying framework has been designed to be secure, anonymous and flexible to ensure compliance with the data protection act and the latest General Data Protection Regulation (GDPR); this new standard came into effect in April 2018 and replaces the Data Protection Act in the UK and Europe.

Attendance Tracking using RFID and IoT

Technologies played an important role in developing the way of living life in terms of making it more easer and flexible than the past. One of the technologies in prominence is RFID which stands for “Radio-Frequency Identification”. RFID uses electromagnetic fields to transfer data that can automate identity and track using tags. This technology has been widely used in IT Asset Tracking, Logistics, Real Time Location Systems, Library systems and many more including Attendance Management in schools and colleges. Internet of Things (IoT) is considered as a technology that monitors the status of physical objects, capture meaningful data and communicate them through internet to software applications. The advancement in 4G and 5G technologies have accelerated the use of IoT and for instance with RFID wearable devices in collecting data wirelessly and sending them to software applications for better decision making. This project proposes a smart Attendance Tracking system using RFID and IoT for tracking attendance of students in classrooms. The project proposes to eradicate the time consuming, insecure and inefficient way of attendance tracking by calling names or signing on paper. A common way of attendance tracking with RFID is with the biometric system. However, this project proposes a protype using RFID and IoT with cloud-based applications that reduces IT support, decreases costs and builds intelligence to RFID tags. The prototype experiments with Ultra High Frequency RFID cards in association with Arduino Raspberry Pi microcontrollers and Microsoft Azure for cloud-based app and data storage. The software recognizes the student through the information on the UHF RFID smart card for recording attendance. Besides sending SMS or email to stakeholders confirming their presence in the class the prototype also uses built-in intelligence that informs about class timings, venue and cautioning late arrivals. The data obtained wirelessly from RFID cards can be analysed and provide the organization with information related measuring attendance at sessions, demographic visibility, engagement metrics, duration spent in seminars or events and understand interests and preferences. The project accentuates the role of RFID and IoT in enhancing the smart attendance system.

A survey on security challenges in cloud computing: issues, threats, and solutions

Cloud computing has gained huge attention over the past decades because of continuously increasing demands. There are several advantages to organizations moving toward cloud-based data storage solutions. These include simplified IT infrastructure and management, remote access from effectively anywhere in the world with a stable Internet connection and the cost efficiencies that cloud computing can bring. The associated security and privacy challenges in cloud require further exploration. Researchers from academia, industry, and standards organizations have provided potential solutions to these challenges in the previously published studies. The narrative review presented in this survey provides cloud security issues and requirements, identified threats, and known vulnerabilities. In fact, this work aims to analyze the different components of cloud computing as well as present security and privacy problems that these systems face. Moreover, this work presents new classification of recent security solutions that exist in this area. Additionally, this survey introduced various types of security threats which are threatening cloud computing services and also discussed open issues and propose future directions. This paper will focus and explore a detailed knowledge about the security challenges that are faced by cloud entities such as cloud service provider, the data owner, and cloud user.

Crypto-watermarking of images for secure transmission over cloud

With ever increasing usage of Cloud based data storage in various domains, the security and authentication of such data is a matter of concern for the end user. Data centres being the third party servers are always prone to data leakage. Moreover investigating an illegal activity over cloud is not possible. The proposed scheme provides a solution to the highly confidential medical data(image) of patients to be shared with authentic users (hospital staff) over the cloud. This work proposes a collective blind crypto-watermarking scheme that provides not only security but also authentication and ownership protection to the medical information of the patients. The scheme is based on a bit level extraction and embedding of watermark in spatial domain. A chaotic mapping based substitution initially obfuscates the host image then a watermark image is embedded into the host image. At next stage the watermarked image is encrypted in fractional Hartley transform domain. This crypto-watermarked image is shared over vulnerable cloud storage. The chaotic parameters and the transform orders serve as the secret keys. The results and analysis indicate that proposed scheme is secure against potential attacks and provides a solution to the security risks associated with the cloud based data storage services.

Dual Access Control for Cloud-Based Data Storage and Sharing

Cloud-based data storage service has drawn increasing interests from both academic and industry in the recent years due to its efficient and low cost management. Since it provides services in an open network, it is urgent for service providers to make use of secure data storage and sharing mechanism to ensure data confidentiality and service user privacy. To protect sensitive data from being compromised, the most widely used method is encryption. However, simply encrypting data (e.g., via AES) cannot fully address the practical need of data management. Besides, an effective access control over download request also needs to be considered so that Economic Denial of Sustainability (EDoS) attacks cannot be launched to hinder users from enjoying service. In this paper, we consider the dual access control, in the context of cloud-based storage, in the sense that we design a control mechanism over both data access and download request without loss of security and efficiency. Two dual access control systems are designed in this paper, where each of them is for a distinct designed setting. The security and experimental analysis for the systems are also presented.

A secure and efficient multi cloud-based data storage and retrieval using hash-based verifiable secret sharing scheme

As the availability of many smart devices rises, fast and easy access to data as well as sharing more information is felt. Cloud computing is a computational approach that shares configurable resources such as network, servers, storage space, applications and services on the internet. The confidentiality, integrity, and availability of the data, reducing computational cost and communication channel between the data owner and cloud service providers are essential parts of cloud computing. In the paper, we propose a new scheme to construct a secure cloud data storage based on the verifiable secret sharing scheme with public verifiability to protect data integrity. And the verification phase does not depend on any computational assumptions. The proposed scheme cannot only detect the cheating but also identify who are the cheaters. It is worth noting that the proposed scheme is more efficient compared with the other secret sharing-based cloud data storage since heavy and complex computation is not required.