Open AccessComputer SciencePhysicsPolitical Science

J. François, Frédéric Beck, Ghita Mezzour, Kathleen M. Carley, Abdelkader Lahmadi, M. Ghogho, Abdellah Houmz, Hicham Hammouchi, Mehdi Zakroum, Narjisse Nejjari, Othmane Cherqi

2020.6.27NATO Science for Peace and Security Series B: Physics and Biophysics

DOI: 10.1007/978-94-024-2021-0_5

tlooto Summary

The ThreatPredict project aims at building predictive models by integrating exogenous sources of data using machine learning algorithms, and reports the most notable results using technical data from security sensors or contextual information about darkweb cyber-criminal markets and data breaches.

Abstract

Abstract is not available.

Citation format

FRANÇOIS, J., et al. Threatpredict: From global social and technical big data to cyber threat forecast. NATO Science for Peace and Security Series B: Physics and Biophysics, 2020.