CYBERSECURITY AND CRIME PREVENTION

In the context of cybersecurity and crime prevention, we are collaborating with the Spanish Institute of Cybersecurity (INCIBE) to research and develop tools based on Computer Vision, Natural Language Processing, Machine Learning and Deep Learning to fight against cybercrime (e.g. age estimation methods, object detection and recognition, classification of website visual and textual contents, perceptual hashing for darknet services identification), and for cybersecurity purposes (e.g. botnet detection).

In 2011 we participated as partners in the European Project ASASEC (Advisory System Against Sexual Exploitation of Children), coordinated by the Spanish Institute of Cybersecurity (INCIBE) (at that time known as the Spanish Institute of Communication Technologies – INTECO). In this context, we developed methods based on Computer Vision and Machine Learning to detect evidences in images and videos that could help in detecting Child Sexual Abuse (CSA).

We continued collaborating with the INCIBE, and we currently have an agreement with them to research and develop tools based on Computer Vision, Natural Language Processing, Machine Learning and Deep Learning to fight against crime (e.g. age estimation methods, object recognition, classification of website visual and textual contents, perceptual hashing for darknet services identification), and for cybersecurity purposes (e.g. botnet detection).

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