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Database security course
In industrial, civil, and government contexts, database security has paramount importance. Database security seems to be a relatively rare subject, despite its importance. The purpose of this paper is to provide insight into how we developed and offered an undergraduate elective course on database security with limited resources.
We feel that database security should be considered holistically instead of being component-specific. Our course emphasizes that students create and implement a database security plan for a real-world application. Students learn about key theoretical concepts and gain practical experience with two popular database management systems.
Using the documentation and technical resources available on the Internet, we encourage students to learn independently. As a result, we hope they will be able to adapt to a variety of systems and application scenarios as they evolve.
DATABASE SECURITY TOPICS
We try to include a relatively small number of topics that will likely be useful, in our judgment, immediately after graduation, despite a large number of topics available. Also included are topics about securing database data, as well as securing database systems and operating systems, as suggested in the book?
As a result, we believe that database security should be taken into account in its entirety and not piecemeal. In practice, however, we understand that security aspects can sometimes be overlooked. Thus, we recommend that students create a security plan for their database. Data mining security and privacy issues are also included, as well as statistical database security.
Introducing Database Security
One way to emphasize the need for database security would be to consider the consequences of not having security in domains such as military, medical, financial, credit card, credit file, driving records, and insurance databases. Database security breaches may be examined by students, as well as the efforts by industry and government to ensure database security.
The basics of both database technology and computer security will be useful, as database security is both a technology and an issue. Include in the discussion security properties such as confidentiality, integrity, availability, and non-repudiation. Students will benefit from the basic concepts of secret-key cryptography and public-key cryptography, even though an in-depth study of cryptography is not within the scope of this course.
This book is a good resource on data security and cryptography and was recommended to us by Dorothy Denning. PKI (Public Key Infrastructure) and digital signatures are other topics to be considered. In addition, it will be helpful to have an overview of security and integrity models. This is an excellent opportunity to introduce computer security jargon, such as objects and subjects. You may also want to mention the differences among access control techniques.
Access Control
Mechanisms that provide discretionary access control (DAC), such as capabilities, profiles, access control lists, passwords, and permission bits, may be discussed. As part of this topic, we will also cover the security aspects of operating systems (using Windows and Linux environments), as well as how they impact database security generally.
Although Role-Based Access Control (RBAC) may not need to be covered in detail until Oracle security is introduced, a brief overview may be discussed. Mandatory Access Control (MAC) differs from the previous techniques in that it enforces security based on a system directive and not by the owner of an object.
The BellLaPadula model may be the easiest to learn out of all of the security models that have been suggested for Mandatory security. The use of covert channels and inference channels can still result in information leakage, even when a system enforces Mandatory Access Control.
Students will be able to better understand how information has the potential to leak through such means after seeing some examples. According to the MAC, subjects and objects are often classified and classified according to their security clearance levels. This system controls access in accordance with these clearance levels. For example, a student-run lab could be developed, which would allow both
Securing Real Life Databases
Students were given hands-on experience with MySQLTM, OracleTM, and Microsoft RSQL ServerTM. Due to time constraints, only the first two databases were covered, but the students have also discussed SQL server security.
Statistical Security
As is the case throughout the course, this section is application-oriented, giving students a good overview of the concepts they need to know before applying them to a real database. Therefore, the first lab consists of a simulation-based assignment meant to introduce students to probability distributions, expectations, spread, sampling methods, and sampling distributions of relevant statistics.
The type of assignment that we offer is very useful, even for students who have taken courses in probability and statistics before. It is the second lab in which students are asked to set up a sequence of queries to determine what information should be secured and extracted from a database.
As an overview, we describe the main conceptual techniques used for inference protection, such as the lattice model and partitioning the database entities into populations. As the third major assignment, the main purpose is to teach the techniques used for inference protection. The students are asked to answer queries using restriction, perturbation, and combined techniques on a database without divulging sensitive information
Security Issues of Data Mining
An individual may use data mining to obtain confidential information from a database. As a result, we believe a course on database security should include an overview of security and privacy concerns associated with data mining. As much as they wish to share data to make their operations easier, they want to prevent the mining of that data for information that they don’t want to divulge.
As well, individuals wish to submit their personal information for data mining without compromising their privacy while still maintaining association rules. Secure data mining techniques seem to be similar to statistical security methods, but they are not computationally efficient. There are a number of papers available that can be used as reading assignments and group discussions.
Other Topics
An application’s security mechanisms can be circumvented by malicious users, who access a database directly. As a result, stored procedures and views should be used in all situations when data access is needed.
The course briefly covered database application security and defensive programming. Extensible Markup Language (XML) documents have a semi-structured structure, making them an ideal candidate for use in a variety of applications, including e-business. Security issues surrounding XML were discussed as well.
RELATED COURSES
A study on database security has been offered by the Department of Computer Science at the University of Alberta, ranging from security models, security mechanisms, intrusion detection systems to statistical database protection.
There is a graduate-level course at the University of Maryland about database security that includes theory and applications, including frameworks for access control, data integrity, availability and performance, data aggregation, data inference, secure concurrency control, and secure transactions.
Among the universities offering database security courses at the graduate level are the University of South Carolina and George Mason University. Some other institutions also offer similar courses, but we cannot discuss them here due to space limitations.
University of Arkansas Little Rock offers the closest undergraduate course to what we’re offering. This course provides a basis in database security theory and Oracle security concepts.
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