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. Various sources of information are collected, enriched and correlated such as honeypot data, data breach incidents, organizational data, Twitter, and vulnerability databases. In addition to warning about attacks, this project also improves our understanding of the effect of global events on cyber-security.


Publications

Fabio Pierazzi, Ghita Mezzour, Qian Han, Michele Colajanni and VS Subrahmanian. A Data-driven Characterization of Modern Android Spyware. ACM Transactions on Management Information Systems (TMIS) 11(1) 1-38, April 2020 Link to PDF.

 

Chongyang Bai, Qian Han, Ghita Mezzour, Fabio Pierazzi, VS Subrahmanian. DBank: Predictive Behavioral Analysis of Recent Android Banking Trojans. IEEE Transactions on Dependable and Secure Computing. April 2019. Link to PDF.

 

Ghita Mezzour, Kathleen M. Carley, L. Richard Carley. Remote Assessment of Countries' Cyber Weapon Capabilities. Social Network Analysis and Mining 8(1), 62-1-62:15 (2018). Link to PDF.

Hicham Hammouchi, Ghita Mezzour, Mounir Ghogho, Mohammed El Koutbi. Predicting Probing Rate Severity by Leveraging Twitter Sentiments. 15th International Wireless Communications & Mobile Computing Conference (IWCMC). IEEE, June 2019, Tangier, Morocco. PDF.


Hicham Hammouchi, Othmane Cherqi, Ghita Mezzour, Mounir Ghogho, Mohammed El Koutbi. Digging Deeper into Data Breaches: An Exploratory Data Analysis of Hacking Breaches Over Time. International Symposium on Machine Learning and Big Data Analytics for Cybersecurity and Privacy (MLBDACP) April 29 May 2, 2019, Leuven, Belgium.
PDF. PPT.


Othmane Cherqi, Ghita Mezzour, Mounir Ghogho, Mohammed El Koutbi. Analysis of Hacking Related Trade in the Darkweb. Proceedings of IEEE Intelligence and Security Informatics (ISI), November 2018, Miami, Florida, USA. PDF. PPT.


Mehdi Zakroum, Abdellah Houmz, Mounir Ghogho, Ghita Mezzour, Jérôme François, Abdelkader Lahmadi and Mohammed El Koutbi. Exploratory Data Analysis of a Network Telescope Traffic and Prediction of Port Probing Rates. Proceedings of IEEE Intelligence and Security Informatics (ISI), November 2018, Miami, Florida, USA.
PDF. PPT.


Quang-Vinh Dang, Jérôme François. Utilizing attack enumerations to study SDN/NFV vulnerabilities. IEEE ETSN – Emerging Trends in Softwarized Networks , June 2018, Montreal, Canada


Kathleen M. Carley, Guido Cervone, Nitin Agarwal, Huan Liu, 2018, Social Cyber-Security , In Proceedings of the International Conference SBP-BRiMS 2018, Halil Bisgin, Ayaz Hyder, Chris Dancy, and Robert Thomson (Eds.) July 10-13, 2018 Washington DC, Springer.


Geoffrey Dobson and Kathleen M. Carley, 2018, A Computational Model of Cyber Situational Awareness , In Proceedings of the International Conference SBP-BRiMS 2018, Halil Bisgin, Ayaz Hyder, Chris Dancy, and Robert Thomson (Eds.) July 10-13, 2018 Washington DC, Springer.


Collaborators



Students


  • Othmane Cherqi, PhD student, recipient of a Fullbright Fellowship
  • Hicham Hammouchi, PhD student
  • Abdellah Houmz, PhD student
  • Narjisse Nejjari, PhD student

 

Media


  • L'Université Internationale de Rabat participe au projet de Recherche ThreatPredict, Le Matin

Sponsors