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    Database Schema Extraction Prevention Through DBMS Error Handling

    , M.Sc. Thesis Sharif University of Technology Naghdi, Sepideh (Author) ; Amini, Morteza (Supervisor)
    Abstract
    Nowadays large volume of sensitive data of organizations are stored in the databases. Thus, databases are attractive to the attackers to execute different types of attacks with different purposes. The useful information that attackers try to achieve in the preliminary steps of the attacks against the databases, is the database structure or schema. One of the popular approach to extract the schema of a database is to analyze the returned error messages from its DBMS. Hence, a solution to prevent schema disclosure via the error messages is customizing and modifying them. To achieve this goal, in this thesis, we propose a framework to handle and customize the error messages automatically and... 

    Preventing database schema extraction by error message handling

    , Article Information Systems ; Volume 56 , 2016 , Pages 135-156 ; 03064379 (ISSN) Naghdi, S ; Amini, M ; Sharif University of Technology
    Elsevier Ltd 
    Abstract
    Nowadays, a large volume of an organization's sensitive data is stored in databases making them attractive to attackers. The useful information attackers try to obtain in the preliminary steps, is the database structure or schema. One of the popular approaches to infer and extract the schema of a database is to analyze the returned error messages from its DBMS. In this paper, we propose a framework to handle and modify the error messages automatically in order to prevent schema revealing. To this aim, after identifying and introducing an appropriate set of categories of error messages, each error message that is returned from a DBMS is placed in a proper category. According to the policy...