Abstract According to the Forrester Wave report [Raschke, 2008], most early DLP solutions
focused on finding sensitive data as they left the organizational network by monitoring data …

The insider threat against database management systems is a dangerous security problem.
Authorized users may abuse legitimate privileges to masquerade as other users or to …

Databases often support enterprise business and store its secrets. This means that securing
them from data damage and information leakage is critical. In order to deal with intrusions …

Internet services and applications have become an inextricable part of daily life, enabling
communication and the management of personal information from anywhere. To …

Studies show that a significant portion of networked computers are infected with stealthy
malware. Infection allows remote attackers to control, utilize, or spy on victim machines …

Relational databases are created for the purpose of handling and organizing sensitive data
for organizations as well as for individuals. Although database security mechanisms and …

Data Warehouses (DWs) are the enterprise's most valuable assets in what concerns critical
business information, making them an appealing target for malicious inside and outside …

We present a novel approach for detecting malicious user activity in databases. Specifically,
we propose a new machine learning algorithm for detecting attacks such as a stolen user …

Modern multi-tier application systems are generally based on high performance database
systems in order to process and store business information. Containing valuable business …

Database systems have become imperative for organisations around the world to store and
analyse information. However, as one of the ramifications of a massive surge in cloud-based …