The uncertainty of identity toolset:analysing digital traces for user profiling


People manage a spectrum of identities in cyber domains. Profiling individuals and assigning them to distinct groups or classes have potential applications in targeted services, online fraud detection, extensive social sorting, and cyber-security. This paper presents the Uncertainty of Identity Toolset, a framework for the identification and profiling of users from their social media accounts and e-mail addresses. More specifically, in this paper we discuss the design and implementation of two tools of the framework. The Twitter Geographic Profiler tool builds a map of the ethno-cultural communities of a person's friends on Twitter social media service. The E-mail Address Profiler tool identifies the probable identities of individuals from their e-mail addresses and maps their geographical distribution across the UK. To this end, this paper presents a framework for profiling the digital traces of individuals.

Publication DOI:
Divisions: College of Engineering & Physical Sciences
Event Title: 7th international conference on Security of Information and Networks
Event Type: Other
Event Dates: 2014-09-09 - 2014-09-11
Uncontrolled Keywords: geographic distribution,identity,online social networks,substring matching,suffix tree,Twitter,Human-Computer Interaction,Computer Networks and Communications,Computer Vision and Pattern Recognition,Software
ISBN: 978-1-4503-3033-6
Full Text Link: http://dl.acm.o ... 2659651.2659741
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2014-09-09
Authors: Adnan, Muhammad
Lima, Antonio
Rossi, Luca (ORCID Profile 0000-0002-6116-9761)
Veluru, Suresh
Longley, Paul
Musolesi, Mirco
Rajarajan, Muttukrishnan



Version: Accepted Version

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