Home » PA-SIEM - Improved data security through profile-based anomaly detection

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PA-SIEM - Improved data security through profile-based anomaly detection

Date: 
01/10/2015 to 09/01/2017

Project Description:

The project partners are working on a solution in the PA-SIEM project that will extend existing SIEM systems by profile-based anomaly detection.

A novel method is being investigated to detect security-related events quickly and reliably based on behavioral changes - without violating data protection. Both real-time events and large amounts of long-term data must be monitored automatically in order to detect conspicuous behavioral patterns. The primary use case considered is the unauthorized removal of confidential data from a network.

The methods and methods to be developed are integrated into a demonstrator in order to be able to evaluate the applicability of the technically and legally secure procedures in real application scenarios and to demonstrate them to potential customers.

Week: 
Monday, 10 December, 2018

News

On the event of the adoption of the draft regulation laying down measures for a high common level of cybersecurity at the institutions, bodies, offices and agencies of the Union, the AI4HealthSec project kicked off a process to provide its opinion.