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 …

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 …

Methods, systems and computer program products for detect ing anomalies for a database
system are provided. A method may include extracting workload features from a query opti …

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 …

Robustness is an attribute of resilience that measures the behaviour of the system under
non-standard conditions. Robustness is defined as the degree to which a system operates …

Databases store vital information of an organisation and are therefore integral for its efficient
working. This necessitates the establishment of database intrusion detection systems …

When considering Intrusion Detection and the Insider Threat, most researchers tend to focus
on the network architecture rather than the database which is the primary target of data theft …

As a result of the development of information and communication technologies (ICT) and
Internet electronic interaction at all levels in the organizations and the use of various …

Over the past few years data leakage and data misuse have become a major concern for
organizations. A data leakage or data misuse incident can damage an organization's …