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Proceedings of the 2nd SIGMOD PhD workshop on Innovative database research - IDAR '08
Data represent today a valuable asset for companies and organizations and must be protected. Most of an organization's sensitive and proprietary data resides in a Database Management System (DBMS). The focus of this thesis is to develop advanced security solutions for protecting the data residing in a DBMS. Our strategy is to develop an Intrusion Detection (ID) mechanism, implemented within the database server, that is capable of detecting anomalous user requests to a DBMS. The key idea is todoi:10.1145/1410308.1410318 fatcat:6kdk22xvojhbpizhmzqau4w7te