Predicting susceptibility to cyber-fraud victimhood

Abstract Purpose – This paper develops a theoretical framework to predict susceptibility to cyber-fraud victimhood. Design/methodology/approach – A survey was constructed to examine whether personality, socio-demographic characteristics, and online routine activities predicted one-off and repeat victimhood of cyber-fraud. Overall, 11,780 participants completed a survey (one-off victims, N = 728; repeat Read more…

Who Am I? Analyzing Digital Personas in Cybercrime Investigations

Awais Rashid, Alistair Baron, Paul Rayson, Corinne May-Chahal, Phil Greenwood and James Walkerdine ABSTRACT The Isis toolkit offers the sophisticated capabilities required to analyze digital personas and provide investigators with clues to the identity of the individual or group hiding behind one or more personas. Date: April 2013 Published: Computer (Volume: 46, Issue: 4, Read more…

Sampling Labelled Profile Data for Identity Resolution

  Matthew Edwards, Stephen Wattam, Paul Rayson and Awais Rashid Abstract Identity  resolution  capability  for  social  networking profiles  is  important  for  a  range  of  purposes,  from  open-source intelligence  applications  to  forming  semantic  web  connections. Yet  replication  of  research  in  this  area  is  hampered  by  the  lack of  access  to  ground-truth  Read more…