Like many other people, cyber security experts and cyber criminals use online social networks (OSNs) but their behaviours may differ from other users'. The increasing number of cyber security attacks and incidents has led to an increasing number of discussions on OSNs, which calls for a better understanding of cyber security experts and cyber criminals found on OSNs and information being exchanged among them. To this end, we need first to identify cyber security related people (accounts) who are active on OSNs. In this seminar, we report our work on building an OSN communication ontology and crowdsourcing-based labelling of cyber security related OSNs accounts, which will feed into another related work on building automated machine learning classifiers for detecting cyber security related accounts automatically. We are using Twitter as an example of an OSN platform for our work, but the work can be generalised to other OSNs.
Mohamad Imad Mahaini is a research associate in the School of Computing at the University of Kent working on EU NeCS project. His PhD topic is: modelling and analysing influence and trust in social networks. He got his BSc and MSc degrees from Damascus University, Syria. He had 8 years of industry experience working in software development, social networks services and business intelligence. His main research interests include cybersecurity, social networks, semantic web and business intelligence.
Cornwallis South West,
University of Kent,
DetailsOpen to everyone, especially those interested in security research,
Contact: Jason R.C. Nurse