File Upload Research Articles

Key-aggregate authentication cryptosystem for data sharing in dynamic cloud storage

Sharing encrypted data with different users via public cloud storage is an important functionality. Therefore, we propose a key-aggregate authentication cryptosystem that can generate a constant-size key that supports flexible delegation of decryption rights for any set of ciphertexts. The size of the key is independent of the number of maximum ciphertexts, meaning that the expense of our scheme is stable no matter how frequently users upload files to the cloud server. In addition, the authentication process in our scheme solves the key-leakage problem of data sharing. The data owner can extract an aggregated key that includes indices of the ciphertexts, the identity of the delegate, and the expiration date of the key. The key with the public parameters is used by the cloud server to identity the person or entity requesting a download, allowing the cloud server to control the right to download. Remarkably, we proved that the authentication key cannot be forged, and the message in this key cannot be denied. The method that is used to achieve efficient and secure data sharing in dynamic cloud storage must be stable in expense and leakage-resilient. Our scheme simultaneously satisfies both of these requirements.

MitoSuite: a graphical tool for human mitochondrial genome profiling in massive parallel sequencing.

Recent rapid advances in high-throughput, next-generation sequencing (NGS) technologies have promoted mitochondrial genome studies in the fields of human evolution, medical genetics, and forensic casework. However, scientists unfamiliar with computer programming often find it difficult to handle the massive volumes of data that are generated by NGS. To address this limitation, we developed MitoSuite, a user-friendly graphical tool for analysis of data from high-throughput sequencing of the human mitochondrial genome. MitoSuite generates a visual report on NGS data with simple mouse operations. Moreover, it analyzes high-coverage sequencing data but runs on a stand-alone computer, without the need for file upload. Therefore, MitoSuite offers outstanding usability for handling massive NGS data, and is ideal for evolutionary, clinical, and forensic studies on the human mitochondrial genome variations. It is freely available for download from the website https://mitosuite.com.

Development for Assignment Management System of E-Learning Portfolio Platform

The subsystem of Assignment Management is part of the E-Learning Portfolio Platform, it provides a platform for the exchange of teachers and students, makes the paperless Assignment Management standardization, automation. The job management subsystem using Linux + Apache + MYSQL + PHP open-source development tools, the use of B/S architecture, introduced the technology under the Session, MD5 encryption algorithm, PHP forms technology and so on. E-Learning Portfolio focuses on the core technology of operations management subsystem implementation, such as the file upload on PHP, PHP and MYSQL database implementation of the interface and so on.

Call for papers: Journal of Research in Science Teaching – Special Issue: A critical examination of the Next Generation Science Standards

Call for papers: <i>Journal of Research in Science Teaching</i> – Special Issue: A critical examination of the Next Generation Science Standards

Randomization Test: An Alternative Analysis for the Difference of Two Means

Randomization Test: An Alternative Analysis for the Difference of Two Means

EumicrobeDBLite: a lightweight genomic resource and analytic platform for draft oomycete genomes.

We have developed EumicrobeDBLite-a lightweight comprehensive genome resource and sequence analysis platform for oomycete organisms. EumicrobeDBLite is a successor of the VBI Microbial Database (VMD) that was built using the Genome Unified Schema (GUS). In this version, GUS has been greatly simplified with the removal of many obsolete modules and the redesign of others to incorporate contemporary data. Several dependences, such as perl object layers used for data loading in VMD, have been replaced with independent lightweight scripts. EumicrobeDBLite now runs on a powerful annotation engine developed at our laboratory, called 'Genome Annotator Lite'. Currently, this database has 26 publicly available genomes and 10 expressed sequence tag (EST) datasets of oomycete organisms. The browser page has dynamic tracks presenting comparative genomics analyses, coding and non-coding data, tRNA genes, repeats and EST alignments. In addition, we have defined 44 777 core conserved proteins from 12 oomycete organisms which form 2974 clusters. Synteny viewing is enabled by the incorporation of the Genome Synteny Viewer (GSV) tool. The user interface has undergone major changes for ease of browsing. Queryable comparative genomics information, conserved orthologous genes and pathways are among the new key features updated in this database. The browser has been upgraded to enable user upload of GFF files for quick view of genome annotation comparisons. The toolkit page integrates the EMBOSS package and has a gene prediction tool. Annotations for the organisms are updated once every 6 months to ensure quality. The database resource is available at www.eumicrobedb.org.

The Important Role of CRIS's for Registering and Archiving Research Data. The RDS-project at Radboud University (the Netherlands) in Cooperation with Data-archive DANS

Optimal research data management and archiving is a key condition for progress in modern science and of vital importance from both the point of view of research as such as well as research policy and management. More specifically, it is a conditio sine qua non for the realization of Open Science and at the same time it is indispensable for the monitoring and assessment of the quality and integrity of research. Various aspects play a role here: optimal infrastructures and tools for the actual handling of data during the research lifecycle, appropriate metadata to describe the datasets, and – last but not least – an adequate organizational framework to curate and archive the datasets professionally and provide optimal support and services to the researchers.The paper presents the Research Data Services (RDS) project of Radboud University (the Netherlands) in cooperation with one of the Dutch national research data archives: DANS (Data Archiving and Networked Services). In this project, a model is worked out for the archiving of research datasets via the CRIS (Current Research Information System) of the university, including both the registration of the metadata as well as the actual upload of the data files to the DANS archive. It is argued that an optimal solution is not only a technical matter, but also requires the definition and organization of appropriate support, management structures and workflows, involving both local and national partners. In this respect, attention is paid to the explanation of the frontoffice-backoffice model(FoBo) that is being defined and implemented as part of the project and which forms the organizational backbone of the solution worked out. The paper starts by arguing that aCRIS-oriented approach in research data archiving holds substantial added value, and it ends with an overview of lessons learned and a peek into the future of the RDS-project.

JPOSTrepo: an international standard data repository for proteomes.

Major advancements have recently been made in mass spectrometry-based proteomics, yielding an increasing number of datasets from various proteomics projects worldwide. In order to facilitate the sharing and reuse of promising datasets, it is important to construct appropriate, high-quality public data repositories. jPOSTrepo (https://repository.jpostdb.org/) has successfully implemented several unique features, including high-speed file uploading, flexible file management and easy-to-use interfaces. This repository has been launched as a public repository containing various proteomic datasets and is available for researchers worldwide. In addition, our repository has joined the ProteomeXchange consortium, which includes the most popular public repositories such as PRIDE in Europe for MS/MS datasets and PASSEL for SRM datasets in the USA. Later MassIVE was introduced in the USA and accepted into the ProteomeXchange, as was our repository in July 2016, providing important datasets from Asia/Oceania. Accordingly, this repository thus contributes to a global alliance to share and store all datasets from a wide variety of proteomics experiments. Thus, the repository is expected to become a major repository, particularly for data collected in the Asia/Oceania region.

A Survey on Crypt- Algorithms in Voting System

Objectives: Traditional voting process held at polling booths have been changed by merging technologies. Though voting system changed, the security provided was unfit to use it in real time. Thus this paper shows the result analysis of various crypt-algorithms to provide more security for voting process. Methods/Statistical Analysis: File Size, Upload & Download time, Efficiency, Memory usage, Speed, Throughput of various Crypt-Algorithm such as AES, RSA, ECC, Visual Cryptography, Blowfish were considered, compared and analyzed. So, we can obtain a better Crypt-Algorithm for Voting. Findings: A suitable Crypt-Algorithm for security which can give good performance in parameters like throughput, Average speed, etc.., was obtained in this survey. Application/ Improvement: Local Election, Data Transferred over network will be secure for various applications, useful for e-commerce software, used to secure passwords.

SNiPhunter: A SNP-Based Search Engine

Procuring biomedical literature is a time-consuming process. The genomic sciences software solution described here indexes literature from Pubmed Central’s open access initiative, and makes it available as a web application and through an application programming interface (API). The purpose of this tertiary data artifact—called SNiPhunter—is to assist researchers in finding articles relevant to a reference single nucleotide polymorphism (SNP) identifier of interest. A novel feature of this NoSQL (not only structured query language) database search engine is that it returns results to the user ordered according to the amount of times a refSNP has appeared in an article, thereby allowing the user to make a quantitative estimate as to the relevance of an article. Queries can also be launched using author-defined keywords. Additional features include a variant call format (VCF) file parser and a multiple query file upload service. Software implementation in this project relied on Python and the NodeJS interpreter, as well as third party libraries retrieved from Github.

Comparison of Multi Criteria Decision Making Algorithms for Ranking Cloud Renderfarm Services

Cloud services that provide a complete environment for the animators to render their files using the resources in the cloud are called Cloud Renderfarm Services. The objective of this work is to rank and compare the performance of these services using two popular Multi Criteria Decision Making (MCDM) Algorithms namely the Analytical Hierarchical Processing (AHP) and SAW (Simple Additive Weighting) methods. The performance of three real time cloud renderfarm services are ranked and compared based on five Quality of Service (QoS) attributes that are important to these services namely the Render Node Cost, File Upload Time, Availability, Elasticity and Service Response Time. The performance of these cloud renderfarm services are ranked in four different simulations by varying the weights assigned for each QoS attribute and the ranking obtained are compared. The results show that AHP and SAW assigned similar ranks to all three cloud renderfarm services for all simulations.

Secure Auditing and Deduplicating Data in Cloud

As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud $^+$ . SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud $^+$ is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.

다중 큐를 지원하는 고속 I/O 장치를 위한 동적 코어 친화도

멀티코어 시스템에서 코어 친화도가 네트워크 I/O 성능에 미치는 영향은 다양한 연구들을 통해 관찰 되었다. 점차 고속화되는 네트워크 연결의 발전에 따라 효율적인 코어 친화도 정책은 중요한 성능 요소가 될 수 있다. 미들웨어 수준의 동적 코어 친화도 프레임워크는 네트워크와 디스크 I/O를 함께 고려한 코어 친화도 정책을 제안하였지만 다중 큐에 대한 고려는 이루어지지 않았다. 본 논문에서는 기존 동적 코어 친화도 프레임워크에 사용된 알고리즘을 다중 큐를 지원하기 위한 구조로 확장하고, 40 기가비트 이더넷과 NVMe 디바이스를 장착한 시스템에서 파일 업로드 성능을 분석한다. 실험 결과 다중 큐를 지원하기 위한 동적 코어 친화도는 하둡 분산 파일 시스템의 파일 업로드 처리량을 최대 32% 향상시켰으며 매니코어 시스템에서 더 나은 확장성을 제공할 수 있음을 확인하였다. 또한 다중 큐 조합에 따른 성능영향에 대해 분석하여 다중 큐 분배 조합을 위해 고려해야 할 성능 요소들에 대해 논의한다.

Alternative Development for Data Migration Using Dynamic Query Generation

Abstract This article presents an ETL (Extract, Transform, Load) prototype called Valery as alternative approach to migration process which includes a compiler for dynamic generation of SQL queries. Its main features involve: SQL dynamic generation, set of configuration commands and environment for file uploading. The tests use the Northwind academic database and an individual environment. The model implementation uses flat files and SQL as query language. Finally, there is an analysis of the results obtained.

Data integration for materials research

A new data science initiative in materials research has been launched at The Johns Hopkins University within the Materials in Extreme Dynamic Environments (MEDE) Collaborative Research Alliance (CRA). Our first goal is to build a solution that facilitates seamless data sharing among MEDE scientists. We expect to shorten the design and development cycle of new materials by providing integrated storage, database, and analysis services, building on proven components of the SciServer project developed at the Institute for Data Intensive Engineering and Science (IDIES). Here we present our system design and demonstrate the power of our approach through a use-case that enables easy comparison of simulations and measurements. This prototype effort, focusing on boron carbide (BC), brings together multiple materials research elements in the Ceramics group within the MEDE CRA. The SciServer platform offers single-sign on access to various general purpose data analysis tools familiar to materials scientists in MEDE. During the case study deployment, users appreciated the simple data file upload process, automated database ingestion, and platform applicability to both students of the art and power users. From our case study experience in aggregating data from both simulations and physical experiments, we developed a template workflow from which a user may run a common data comparison task outright or customize to another purpose. Next, we turn to acquiring data from more MEDE groups and expanding the user base to the Metals group.

Multi-Document Summarization Using TF-IDF Algorithm.

With the increase in amout of data and information one has to deal with,now a days,going through all the documents is a time consuming process.We are implementing an android application that helps organizations such as law firms to manage the hundreds of documents and to get summary of these documents.We are also using concept of ontology for this application.Ontology is basically the relationship between entities.The application that we are implementing allow the users to search for files in the database,upload files and summarize multiple documents.

An Analysis of Vulnerability Web Against Attack Unrestricted Image File Upload

The development of computer security technology is very rapidly. Web security is one of the areas that require particular attention related to the abundance of digital crimes conducted over the web. Unrestricted file upload image is a condition in the process of uploading pictures is not restricted. This can be used to make the attacker retrieve the information that is contained in a system. This research developed with several stages, such as, data collection, analysis of the current conditions, designing improvements to the program code, testing and implementation of the results of patch. Security testing is performed to find out the difference between before and after conditions applied patch unrestricted image file upload. Based on the results of testing done by the method of penetration testing results obtained before the application of patch unrestricted image file upload results respondents said 15% strongly disagree, 85% did not agree. Testing after applying patch unrestricted image file upload results respondents said 7.5% strongly agree, 92.5% agree, so it can be concluded that the development of the patch that has been done has been running smoothly as expected.

Feasibility of a dynamic web guidance approach for personalized physical activity prescription based on daily information from wearable technology.

BackgroundComputer tailored, Web-based interventions have emerged as an effective approach to promote physical activity. Existing programs, however, do not adjust activities according to the participant’s compliance or physiologic adaptations, which may increase risk of injury and program attrition in sedentary adults. To address this limitation, objective activity monitor (AM) and heart rate data could be used to guide personalization of physical activity, but improved Web-based frameworks are needed to test such interventions.ObjectiveThe objective of this study is to (1) develop a personalized physical activity prescription (PPAP) app that combines dynamic Web-based guidance with multi-sensor AM data to promote physical activity and (2) to assess the feasibility of using this system in the field.MethodsThe PPAP app was constructed using an open-source software platform and a custom, multi-sensor AM capable of accurately measuring heart rate and physical activity. A novel algorithm was written to use a participant’s compliance and physiologic response to aerobic training (ie, changes in daily resting heart rate) recorded by the AM to create daily, personalized physical activity prescriptions. In addition, the PPAP app was designed to (1) manage the transfer of files from the AM to data processing software and a relational database, (2) provide interactive visualization features such as calendars and training tables to encourage physical activity, and (3) enable remote administrative monitoring of data quality and participant compliance. A 12-week feasibility study was performed to assess the utility and limitations of the PPAP app used by sedentary adults in the field. Changes in physical activity level and resting heart rate were monitored throughout the intervention.ResultsThe PPAP app successfully created daily, personalized physical activity prescriptions and an interactive Web environment to guide and promote physical activity by the participants. The varied compliance of the participants enabled evaluation of administrative features of the app including the generation of automated email reminders, participation surveys, and daily AM file upload logs.ConclusionsThis study describes the development of the PPAP app, a closed-loop technology framework that enables personalized physical activity prescription and remote monitoring of an individual’s compliance and health response to the intervention. Data obtained during a 12-week feasibility study demonstrated the ability of the PPAP app to use objective AM data to create daily, personalized physical activity guidance, provide interactive feedback to users, and enable remote administrative monitoring of data quality and subject compliance. Using this approach, public health professionals, clinicians, and researchers can adapt the PPAP app to facilitate a range of personalized physical activity interventions to improve health outcomes, assess injury risk, and achieve fitness performance goals in diverse populations.

SECURE3 AUTHENTICATION FOR SENSITIVE DATA ON CLOUD USING TEXTUAL, CHESSBOARD AND QR CODE PASSWORD SYSTEM

Existing systems of authentication are plagued by many weaknesses. As a high speed cloud infrastructure is being developed and people are informationized, the sensitive data are also engaged in cloud feild. However, the existing cloud sensitive file upload and download on cloud was exposed to the danger of hacking. Recently, the personal information has been leaked by a high degree method such as Phishing or Pharming beyond snatching a user ID and Password. Seeing that most of examples which happened in the file uploading and downloading were caused by the appropriation of ID or Password belonging to others, a safe user confirmation system gets much more essential. In this paper, we propose a new authentication system file uploading and downloading on cloud using HADOOP technique. In HADOOP technique there are 3 technique but we can use HDFS (Hadoop Distributed File System).This authentication system is a combination of a three authentication system i.e. Secure3 in that 1)Textual,2)Chessboard,3)QR-code Authentication. In Textual authentication normal authentication is required to login .i.e username and password. In chessboard authentication user plays a steps of a chessboard and select that steps as authentication. In QR-code used Mobile OTP with the combination of QR-code which is a variant of the 2D barcode. we also include a priority of a sensitive data in that low priority sensitive data have only a Textual authentication system. Medium priority sensitive data have Textual +chessboard authentication system. High priority sensitive data have Textual +chessboard +QR-code authentication system.

Privacy Preserving using Data Partitioning Technique for Secure Cloud Storage

Computing is a utility computing such asPay-as-you-go computing, Illusion of Infinite Resources, No UpfrontCost, Fine grained billing. User's store their large amountof data on a cloud severs at remote place without worryingabout Storage Correctness as well as information Integrity. Sothat users can option to a Third Party Auditor (TPA) to testthe data integrity and be worry-free because user does not physical present at all time. The Third Party Auditor(TPA) performs audits for multiple cloud users simultaneouslyand efficiently.In this paper, proposed scheme contain data files dividedinto small block technique. which ensure cloud storage security, integrity. To increase the user level security we proposed One Time Password (OTP) at the time of file uploading. Partitioning process implemented at TPA side. TPA performs operation like data files divided into small part of block, take hash of each block, each block Encrypt using cryptographic algorithm.