Data Analytics in Security

The number of available data sources grows exponentially. The targeted introduction of innovative sensor technologies and sensor, data, information and communication networks is very important for the optimisation of the security chain of observing, analysing, deciding and acting. There is an importance towards the availability and quality of data and information to improve the knowledge-position of actors in the security domain. The application of big data and all its aspects are key innovation areas within the safety and security domain, as they can be used to discover and predict safety and security-related trends within society. The ongoing increase in gathering information necessitates novel concepts of processing these data.

We need to be better capable of identifying and predicting the behaviour of individuals and groups or trends. This concerns the use of (big) dat, data analytics a and data mining techniques to identify irregular, undesired and/or prohibited behaviour, and using this to predict future criminal or hostile conduct. This knowledge can then become a foundation for preventing undesired and prohibited behaviour or for intervening at an early stage to prevent escalation. The trend in the development of this specific form of pattern recognition in human behaviour is moving towards real-time multisensor information in combination with information from open, proprietary and third-party information systems and databases.