Data Mining by Clustering

Clustering is one of the most used techniques in the Data Mining field. Its objective, in ARGOS project, is to help analyzing existing data by subdividing these data into a small number of clusters or (groups) where the events inside any specific cluster are very similar to each other and very dissimilar to the events of the other clusters.

As a result of the clustering process, several important information will be obtained among which two major ones can be quoted:

ARGOS TransGaz Trial

The ARGOS FP7 Project successfully organized the 1^st Field Trial in Bucharest, Romania deploying the CI protection solution under development at the premises of the Romanian company TransGaz. The system testing and demonstration in a properly designed field trial took place between 22^nd and 25^th of June 2015. The trial was attended by several End Users originating from Romania as well by critical infrastructure protection operators and security experts invited from different EU countries.  The scenarios used during the trial dealt with several different types of attacks against a gas plant or installations, in this case the TransGaz facility in the outskirt of Bucharest. For this purpose a mesh network of different types of sensors including vibration and video sensors, as well as Wake-up Cameras were deployed in a buffer zone outside the perimeter of the facility in order to extend the protection of the critical infrastructure (distribution station, gas pipeline) beyond its perimeter from potential intruders.  

Why complex ICT systems should be standardised?

We may not be aware of them, but we use standards every day, in all aspects of our daily lives – in communications, media, healthcare, food, transport, construction, furniture, energy. Standards provide: