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Who are you today? Profiling the ID theft fraudster
Olga Angelopoulou
,
Stilianos Vidalis
, Ian Robinson
Centre for AI and Robotics Research
School of Physics, Engineering & Computer Science
Department of Computer Science
Cybersecurity and Computing Systems
Networks and Security Research Centre
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
3
Citations (Scopus)
Overview
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Keyphrases
Crime Type
8%
Cybercrime
8%
Digital Media
16%
Drug Trafficking
8%
Forensic Investigation
16%
Fraudsters
100%
Identity Theft
100%
Individual Privacy
8%
Individual Self
8%
Information Gathering
8%
Information Knowledge
8%
Information Technology
8%
Information Understanding
8%
Investigation Process
8%
Investigation Techniques
8%
Knowledge Base
8%
Modern Knowledge
8%
Online Identity Theft
16%
Personal Identity
8%
Personal Information
8%
Privacy Assurance
8%
Private Information
8%
Self-assurance
8%
Statistical Figures
8%
Technological Way
8%
Terrorism
8%
Well Structure
8%
Psychology
Cybercrime
50%
Digital Media
100%
Identity
50%
Information Technology
50%
Computer Science
Cybercrime
11%
Forensics Investigation
22%
Identity Theft
100%
Individual Privacy
11%
Information Gathering
11%
Information Technology
11%
Investigation Process
11%
Online Identity
22%
Reveal Information
11%
Mathematics
Fraudster
100%