Transactions on Software Engineering

The IEEE Transactions on Software Engineering (TSE) is an archival journal published bimonthly. We are interested in well-defined theoretical results and empirical studies that have potential impact on the construction, analysis, or management of software. Read the full scope of TSE


Expand your horizons with Colloquium, a monthly survey of abstracts from all CS transactions! Replaces OnlinePlus in January 2017.


From the May 2017 Issue

A System for Profiling and Monitoring Database Access Patterns by Application Programs for Anomaly Detection

By Lorenzo Bossi, Elisa Bertino, and Syed Rafiul Hussain

Featured article thumbnail imageDatabase Management Systems (DBMSs) provide access control mechanisms that allow database administrators (DBAs) to grant application programs access privileges to databases. Though such mechanisms are powerful, in practice finer-grained access control mechanism tailored to the semantics of the data stored in the DMBS is required as a first class defense mechanism against smart attackers. Hence, custom written applications which access databases implement an additional layer of access control. Therefore, securing a database alone is not enough for such applications, as attackers aiming at stealing data can take advantage of vulnerabilities in the privileged applications and make these applications to issue malicious database queries. An access control mechanism can only prevent application programs from accessing the data to which the programs are not authorized, but it is unable to prevent misuse of the data to which application programs are authorized for access. Hence, we need a mechanism able to detect malicious behavior resulting from previously authorized applications. In this paper, we present the architecture of an anomaly detection mechanism, DetAnom, that aims to solve such problem. Our approach is based the analysis and profiling of the application in order to create a succinct representation of its interaction with the database. Such a profile keeps a signature for every submitted query and also the corresponding constraints that the application program must satisfy to submit the query. Later, in the detection phase, whenever the application issues a query, a module captures the query before it reaches the database and verifies the corresponding signature and constraints against the current context of the application. If there is a mismatch, the query is marked as anomalous. The main advantage of our anomaly detection mechanism is that, in order to build the application profiles, we need neither any previous knowledge of application vulnerabilities nor any example of possible attacks. As a result, our mechanism is able to protect the data from attacks tailored to database applications such as code modification attacks, SQL injections, and also from other data-centric attacks as well. We have implemented our mechanism with a software testing technique called concolic testing and the PostgreSQL DBMS. Experimental results show that our profiling technique is close to accurate, requires acceptable amount of time, and the detection mechanism incurs low runtime overhead.

download PDF View the PDF of this article      csdl View this issue in the digital library      TSE Facebook Link  TSE on Facebook


Editorials and Announcements

Announcements


Editorials


Guest Editorials


Reviewers List


Annual Index


Access All Recently Published TSE Articles

RSS Subscribe to the RSS feed of latest TSE content added to the digital library

Mail Sign up for the Transactions Connection Newsletter.


Access TSE PrePrints in the Computer Society digital library

A PrePrint is an article that has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication