Database transaction

- 1 - Database Security *) GÜNTHER PERNUL Institut für Angewandte Informatik und Informationssysteme Abteilung für Information Engineering Universität Wien Vienna, Austria 1. Introduction 1.1 The Relational Data Model Revisited 1.2 The Vocabulary of Security and Major DB Security Threats 2. Database Security Models 2.1 Discretionary Security Models 2.2 Mandatory Security Models 2.3 Adapted Mandatory Access Control Model 2.4 Personal Knowledge Approach 2.5 Clark and Wilson Model 2

multimedia data sets, such as audio, video, images, graphics, speech, text and combination of several types of data set. Multimedia data are unstructured data or semi-structured data. These data are stored in multimedia database, multimedia mining find information from large multimedia database system, using multimedia techniques and powerful tools. KEYWORDS: Data Mining, Multimedia Mining, Clustering, Classification. 1. INTRODUCTION Multimedia data mining is a subfield of data mining that using to find

MODELING As databases and technology have evolved, Elmasri and Navathe point out that increasingly complex data structures for modeling to meet the needs of the more advanced and larger databases that were also beginning to include newer data types (2016). As stated before, with more complex databases, there are more vulnerabilities in security that need to be planned for and mitigated wherever possible. A DBMS is responsible for designing the methods in which data recovery and security is handled

Row Level Security/ Virtual Private Database Row level security is important in this application because data related to many different users are stored in the database. It would be wasteful to assign each student to their own database, hence the need of a centralized database , but we cannot give full access to the data by the student. Consider an instance where a student should only be able to view or modify the rows of data that matters specifically to him. We can achieve this through creating

Advantages Reduction of of data redundancy Data redundancy could be defined as keeping the same piece of data in two separate places within a database or data storage technology. Traditional file-based systems stores the same information in more than one file through which space is wasted unnecessarily. But the DBMS ensure that multiple copies of the same data are not stored by integrating the files to eliminate the redundancy. Sometimes, it is necessary to duplicate key data items to model relationships

can guarantee that our informations are secure and available just for our own purpose. Lots of companies work just if critical information which is stored on their databases. It is the responsibility of these companies to guarantee with their costumers that this data is secure. Lots of those companies are concerned about their databases and try to improve their security however. According to last year 's Internet Security Report from Symantec, almost no company, whether large or small, is immune to

started with the ‘Aution Web’ their structural design of the website was fairly simple. Back then they were using the PERL and no databases to connect to. Instead they used plain text files. Since the distribution of members started to increase had to create another version. This meant from transferring from one programming language to another; PERL and C++. A database structure has to be implemented where they used the master-slave method. Meanwhile, on the front-end users they were running XSLT

for schema-less or dynamic-schema database? 5.10.2 Performance: Availability versus access controls overhead, how to manage the cost of access control? Because of schema-less nature of NoSQL data models, fine-grained data access controls at the column or row level, as gave by RDBMS i.e. oracle and these features are not accessible in the recent NoSQL databases. Some of them employ a few kind of authorization if desired. Authorization setting of some of NoSQL database is allowed by all authenticators

images, graphics, speech, text and combination of several types of data sets. Normally, multimedia data are categorized into unstructured and semi-structured data. These data are stored in multimedia databases and multimedia mining is used to find useful information from large multimedia database system by using various multimedia techniques and powerful tools.This paper provides the basic concepts of multimedia mining and its essential characteristics.Multimedia mining architectures for structured

The clients, their houses, rooms and devices need to be added in the database. This admin site helps creating those for service providers without writing any queries or manual database entry. For this prototype, the admin site is built using AngularJS, a JavaScript frontend framework. AngularJS follows the MVC architecture by default. The application in designed similar fashion