Future of Cyber Criminals and Measuring Their Activity

Abstract

Cyber crime is one of the largest growing crimes in modern society and is increasing at an alarming rate with few barriers in its path. A key challenge in preventing criminals is understanding who these individuals are not just in terms of their offending patterns but also their characteristics. Information on traditional criminals is comparatively rich with many information sources existing, containing billions of records on offending patterns, socio-demographics and characteristics, whilst data on cyber criminals is near non-existent.

This workshop seeks to bring together experts in the field to explore the current situation and to widen the knowledge of cyber criminals and develop innovative approaches to obtain information on cyber criminals. 

Publication

Workshop Brief: Future of Cyber Criminals and Measuring Their Activity
Executive Summary: Future of Cyber Criminals and Measuring Their Activity
Full Report: Future of Cyber Criminals and Measuring Their Activity

Participants

Claire Hargreaves: Security Lancaster

Claire Hargreaves is completing a PhD in Applied Social Statistics at Lancaster University. Her primary research is in quantitative criminology which focuses on the criminal careers of offenders. During her PhD she has worked for the Home Office on a 6 month internship and undertaken collaborative work with Statistics Norway.

Claire completed her undergraduate studies in Criminology in 2009 and went on to complete her MRes in Applied Social Statistics in 2010. 

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Dr Daniel Prince: Security Lancaster

Dr Daniel Prince is an associate director and business partnerships manager for Security Lancaster. Prior to this he was the course director for the multi-disciplinary MSc in Cyber Security teching penetration testing, digital forensics and information security risk management.

Daniel completed his undergraduate studies in Computer Systems Engineering in 2000 and went onto complete his PhD in Programmable Ad Hoc Networks in 2004. During his PhD he extensively worked with Mobile IPv6, working to complete an Implementation of Cisco IOS and as part of a team worked to implement the protocol in Windows CE. 

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Professor Brian Francis

Professor Brian Francis is a social statistician with interests in preference models, latent class methods for longitudinal data and categorical data problems. Applications are crucial to his work and he is primarily research is in quantitative criminology -both methodological and substantive problems - focusing on the criminal careers of offenders and social and developmental change. He is also interested in anaylsing administrative and survey data and investigating issues related to violence and serious offending, including sexual offending and homicide. More broadly he is working on child developmental studies in psychology and in fetal development.