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Securing Relational Databases against Security Vulnerabilities: A Case of microsoft sql server and Postgresql

JOURNAL OF APPLIED SECURITY RESEARCH 2023年第3期18卷 421-435页

作者： Kilavo, Hassan Mrutu, Salehe, I Dudu, Robert G. Univ Dodoma Coll Informat & Virtual Educ POB 490 Dodoma Tanzania Tanzania Rural & Urban Rd Agcy Dodoma Tanzania

This study evaluates mechanisms to secure relational databases against security vulnerabilities and utilized Postgresql and microsoft sql server due to data breach incidences reported across the world. Emulation experiments with documentary review were employed to collect necessary study data. Identification of security features and vulnerabilities that are found to affect the data tier of the web applications were examined. The findings from the study have shown that microsoft sql server is more security feature-rich in terms of Confidentiality, Integrity, and Availability compared to Postgresql and microsoft sql server is more resilient to security attacks in its default behavior compared to Postgresql.

关键词： microsoft sql server Postgresql relational database application security

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基于microsoft sql server技术的电话营销系统设计要点分析

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电脑迷 2018年第8期 101-102页

作者：南玲玲湖北工业大学

电话营销系统的发展标志着信息技术及传真通信业务技术的创新与应用,电话营销的核心就是通过电话的方式实现点对点的连接,形成一定业务框架的对接模式,进而有效的扩大营销的范围,增加业务领域的客户人群,对提升客户的满意度具有重要作用... 详细信息

电话营销系统的发展标志着信息技术及传真通信业务技术的创新与应用,电话营销的核心就是通过电话的方式实现点对点的连接,形成一定业务框架的对接模式,进而有效的扩大营销的范围,增加业务领域的客户人群,对提升客户的满意度具有重要作用,因此实现电话营销系统设计具有重要意义。对于其设计的应用技术来说,sql server是一项具有核心竞争力的microsoft数据平台组成部分,其能够有效的实现电话营销系统设计。本文以电话营销系统设计为研究对象,主要分析其基于microsoft sql server技术的设计要点。

关键词：电话营销系统 microsoft sql server 设计要点

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microsoft sql server数据库的安全维护策略研究

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智库时代 2017年第11期 216-216页

作者：于雷吉林广播电视大学

随着科学技术的快速发展,各种类型的数据库出现在我们日常的生活中,为了保证数据库的安全性,我们从操作系统、网络系统等一些基础方面进行研究,然后将数据库的安全策略划分为安装安全、登录安全、配置安全和日常管理安全这四个方面,这... 详细信息

随着科学技术的快速发展,各种类型的数据库出现在我们日常的生活中,为了保证数据库的安全性,我们从操作系统、网络系统等一些基础方面进行研究,然后将数据库的安全策略划分为安装安全、登录安全、配置安全和日常管理安全这四个方面,这样做的最主要目的就是为了在最大程度上保证microsoft sql server数据的安全性,在下面的文章里我们就着重的讲述了microsoft sql server数据库的安全维护策略。

关键词： microsoft sql server 数据库安全性维护策略

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Query-by-Example Image Retrieval in microsoft sql server 15th

Query-by-Example Image Retrieval in Microsoft SQL Server

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15th International Conference on Artificial Intelligence and Soft Computing (ICAISC)

作者： Staszewski, Pawel Woldan, Piotr Korytkowski, Marcin Scherer, Rafal Wang, Lipo Czestochowa Tech Univ Inst Computat Intelligence Al Armii Krajowej 36 PL-42200 Czestochowa Poland Nanyang Technol Univ Sch Elect & Elect Engn Block S1Nanyang Ave Singapore 639798 Singapore

ISBN: (纸本)9783319393841

In this paper we present a system intended for content-based image retrieval tightly integrated with a relational database management system. Users can send query images over the appropriate web service channel or construct database queries locally. The presented framework analyses the query image based on descriptors which are generated by the bag-of-features algorithm and local interest points. The system returns the sequence of similar images with a similarity level to the query image. The software was implemented in. NET technology and microsoft sql server 2012. The modular construction allows to customize the system functionality to client needs but it is especially dedicated to business applications. Important advantage of the presented approach is the support by SOA (Service-Oriented Architecture), which allows to use the system in a remote way. It is possible to build software which uses functions of the presented system by communicating over the web service API with the WCF technology.

关键词： Content-based image retrieval Relational databases Bag-of-features Query by image WCF microsoft sql server

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Fast Foreign-Key Detection in microsoft sql server PowerPivot for Excel

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PROCEEDINGS OF THE VLDB ENDOWMENT 2014年第13期7卷 1417-1428页

作者： Chen, Zhimin Narasayya, Vivek Chaudhuri, Surajit Microsoft Res Washington DC 98052 USA

microsoft sql server PowerPivot for Excel, or PowerPivot for short, is an in-memory business intelligence (BI) engine that enables Excel users to interactively create pivot tables over large data sets imported from sources such as relational databases, text files and web data feeds. Unlike traditional pivot tables in Excel that are defined on a single table, PowerPivot allows analysis over multiple tables connected via foreign-key joins. In many cases however, these foreign-key relationships are not known a priori, and information workers are often not be sophisticated enough to define these relationships. Therefore, the ability to automatically discover foreign-key relationships in PowerPivot is valuable, if not essential. The key challenge is to perform this detection interactively and with high precision even when data sets scale to hundreds of millions of rows and the schema contains tens of tables and hundreds of columns. In this paper, we describe techniques for fast foreign-key detection in PowerPivot and experimentally evaluate its accuracy, performance and scale on both synthetic benchmarks and real-world data sets. These techniques have been incorporated into PowerPivot for Excel.

关键词： Windows operating system Benchmarking Electronic data interchange Spreadsheets High precision Information workers Large datasets microsoft sql server Pivot tables Real world Relational Database Synthetic benchmark

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Relational Database Courses with CodeRunner in Moodle: Extending sql Programming Assignments to Client-server Database Engines 2025

Relational Database Courses with CodeRunner in Moodle: Exten...

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56th Technical Symposium on Computer Science Education

作者： Wojtowicz, Andrzej Prill, Maciej Adam Mickiewicz Univ Fac Math & Comp Sci Poznan Poland

ISBN: (纸本)9798400705311

Students practice Data Query, Manipulation, and Definition Language statements in a standard introductory relational database course. When teaching large classes, the teacher needs to review many student solutions. Doing it by hand is laborious. However, this task can be quickly and accurately completed using a learning management system (LMS). Moodle is a widely used LMS that can be enhanced with the CodeRunner plugin to facilitate the evaluation of programming tasks. Unfortunately, a basic setup supports only the embedded database engine sqlite, which often is not the preferred choice for a course of this type. We present an open-source implementation that extends CodeRunner with popular client-server database engines, i.e., microsoft sql server, Mysql, and Postgresql. Our method checks the correctness of a student's query in terms of output and validates the query by investigating the parse tree derived from the grammar of a given Structured Query Language (sql) dialect. We present the system's evaluation results during a database course along with the implementation.

关键词： databases student assessment microsoft sql server Moodle Mysql Postgresql

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Performance testing on Transparent Data Encryption for sql server's reliability and efficiency

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JOURNAL OF BIG DATA 2021年第1期8卷 1-14页

作者： Madyatmadja, Evaristus Didik Hakim, Aditya Nur Sembiring, David Jumpa Malem Bina Nusantara Univ Sch Informat Syst Informat Syst Dept Jakarta Indonesia Inst Teknol & Bisnis Indonesia Tekn & Informatika Medan Indonesia

Data security is being one of the most crucial aspects to be focused on system development. However, using such a feature to enhance the security of data might affect the system's performance. This study aims to observe how substantial Transparent Data Encryption as a solution for data security on microsoft sql server will affect the database management system's performance. Each of the system performance is conducted with stress and load test. This paper concentrates on the upsides of using Transparent Data Encryption over standard database by finding how significant performance degradation has occurred in terms of Reliability and Efficiency.

关键词： microsoft sql server Transparent Data Encryption Performance testing

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Generátor dat pro microsoft sql server

Generátor dat pro Microsoft SQL Server

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作者： Drozen, Jan Charles University of Prague

Testing of newly programmed components is an integral part of software development. Data Generator for microsoft sql server is a tool for simple populating database tables with testing data which allows efficient database component testing for programmers, administrators and other database developers. Generated data can be structured using the parameters which are set in a simple user interface. Generated data correspond with database schema and constraints defined on columns. In following text we are going to describe the architecture and implementation details together with the necessary theoretical knowledge.

关键词： random data microsoft sql server generator testing optimization

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Performance of OnPrem Versus Azure sql server: A Case Study

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IEEE ACCESS 2019年 7卷 15894-15902页

作者： Gyorodi, Robert Pavel, Marius Iulian Gyorodi, Cornelia Zmaranda, Doina Univ Oradea Dept Comp Sci & Informat Technol Oradea 410087 Romania Univ Oradea Fac Elect Engn & Informat Technol Dept Comp Sci & Informat Technol Oradea 410087 Romania

This paper presents a comparative study between on-premises databases and cloud databases regarding the response time of the database. It focuses on presenting the advantages of storing data and applications in the cloud and, of course, on managing it in comparison with managing the same data and applications locally on one or more physical machines. A microsoft Azure account was created to manage the database that is stored in the cloud. To achieve comparative results, a specific testing architecture that uses a Universal Windows Platform app was created and used. The application is running locally on multiple physical machines and works with that database to extract data, operate, and upload new data. For local tests, the database was stored locally on a server, with and without replication, and for cloud tests, it was stored into a server in Central US. This paper provides a practical approach that could be used for examining the performance of basic database operations when dealing with a different number of user situations. As a result of tests carried out, we will highlight the many advantages of cloud data storage, such as data accessibility, speed, security, automation, and disaster recovery, and we will also try to offer an answer to the most common and important question: "Why cloud?"

关键词： Cloud database data storage microsoft Azure microsoft sql server on-premises

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Applying microsoft sql server database in paper quality evaluation

Applying Microsoft SQL Server database in paper quality eval...

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2013 International Conference on Sport Science and Computer Science (CCCS 2013)

作者： Minghua Dong Qin Huang Shumei Li Qingfen Wu Department of Epidemiology in Preventive Medicine Gannan Medical College Department of Emergency of 1'th Affiliate Hospital Gannan Medical College

The purpose of this article is to explore the steps and methods of performing examination analysis by microsoft Structured Query Language(sql) server database and compare the analytical effect with other two usually used *** steps of examination analysis include creating database tables,importing data,editing sql scripts,calculating indicators,exporting analytical *** examination evaluation indicator consists of the difficulty index,degree of differentiate,reliability index,validity,and the standard *** part of the main program code was *** a practical example of examination analysis,the advantages of analysis paper quality using microsoft sql server are described.

关键词： paper quality analysis test analysis microsoft sql server database programming component

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