Statistical Aspects of Cyber-Security

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Emerging Applications Section

Thursday 10 March 2016, 01:00pm - 05:00pm

Location Royal Statistical Society, 12 Errol Street, London, EC1Y 8LX

News reports frequently cover serious cyber-attacks in the UK and internationally. Defending corporate networks from malicious attack is a pressing and challenging concern. The increasing frequency and severity of cyber-attacks demonstrate that the existing set of defences (firewalls, signature-based intrusion, virus scanners) are not sufficient for the task.

Next generation cyber-defence tools will have a statistical nature, to match the complexities and uncertainties of the obtainable data. The purpose of this event is to bring together academic and industrial researchers, to discuss practical challenges, and explore methodological developments.

Invited speakers:

Dr Nicholas Heard, Imperial College London - "Modelling Dependencies in internet traffic data" - slides (pdf) 

Dr Patrick Rubin-Delanchy, Heilbronn Institute for Mathematical Research, University of Bristol - "Modelling a network of point processes: an approach based on exchangeability" - slides (pdf)

Dr Joshua Neil, Ernst & Young, USA - "Data Science for Enterprise Network Security Operations" - slides (pdf)

Dave Palmer , Darktrace - "Self learning immune systems in theory and in practice" - slides (ppt)

Dr Matt Rapier , SELEX ES - "Why do you want so much data, and all of it in the middle?" - slides (pdf)

We are grateful to the Heilbronn Institute for Mathematical Research, University of Bristol, for generous sponsorship for this event.

Further information including the event timetable and talk abstracts is available here

Contact Attendance is free but please register by email to This email address is being protected from spambots. You need JavaScript enabled to view it.

Organiser Name Niall Adams

Email Address This email address is being protected from spambots. You need JavaScript enabled to view it.

Organising Group(s) RSS General Applications Section and Imperial College London





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