A Socio-Technical Approach to Cyber Security


Cyber security has both technical and social dimensions. Understanding and leveraging the inter play of these dimensions can help design more secure systems and more effective policies. However, the majority of cyber security research has only focused on the technical dimension.

 

ThreatPredict: From Global Social and Technical Big Data to Cyber Threat Forecast

Predicting attacks can help to prevent them or at least reduce their impact. Nowadays, existing attack prediction methods make accurate predictions only hours in advance or cannot predict geo-politically motivated attacks. ThreatPredict aims to predict different attack types days in advance. It develops machine-learning algorithms that capture spatio-temporal dynamics of cyber-attacks and global social, geo-political and technical events. [More details]

 

Social-technical factors behind international variation in attacks

This project studies factors behind international differences in cyber attacks. The project built statistical models that explain the international variation in the number of attacks encountered and hosted. [More details]

 

Cyber warfare capabilities

Many countries have included cyber security units in their militaries and announced their intent to develop cyber warfare capabilities. [More details]

 

Field Studies in Morocco

We have field studies to examine the cyber security situation in Morocco. We found that the vast majority of WIFI networks in Rabat use WPA or WPA2. We have also found that WIFI networks in administrative neighborhoods are more likely to be security than in residential neighborhoods.[More details]

 

Youth Employability


Youth unemployment causes major social, political, and economic problems in Morocco. In this project, we collect, merge, and analyze multiple data sets about the Moroccan job market. We also analyze the perceptions of different stakeholders through social and traditional media analysis and interviews.[More details]