Abstract
Cyber attacks have grown significantly in recent years. In the US, for example, these cyberattacks have doubled since 2010 and the expenditure incurred by companies in response to these attacks has shot up by 40%.
Within this field, the Information Technology and Artificial Intelligence Group at the Universitat Politècnica de València is working on the development of new software tools that contribute to real-time detection of these attacks. Its main contribution lies in the use of Artificial Intelligence techniques and the generation of visual reports of the traffic of computers on a network. In this way, the network administrator can easily and quickly detect a possible attack and, from there, initiate the entire server protection protocol.
The systems developed by UPV researchers are based on the use of neural networks and case-based reasoning to process information, agent technologies for a distributed management of the system and real-time technologies to ensure a response in a maximum delimited time. Bounding deliberative processes within the intrusion detection system is a very positive development, as it allows security personnel to know the maximum time interval within which a response will be obtained.
GTI-IA researchers also continue to work on the implementation of automatic mechanisms for the interruption of attacks once they have been detected.
This UPV group has extensive research experience in the field of multi-agent systems, agreement technologies and artificial intelligence, having developed numerous research projects and R&D contracts, both nationally and internationally.
Scientific officer
Stakeholders
Applications
Computer security
Technical advantages
Use of Artificial Intelligence techniques and the generation of visual reports of the traffic of computers in a network.
Benefits it provides
Quick and easy visual detection of potential cyber attacks