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Using Digital Traces for User Profiling: the Uncertainty of Identity Toolset

Adnan, M., Rosi, L., Veluru, S., Mouseli, M., Longley, P. A. and Rajarajan, M. (2014). Using Digital Traces for User Profiling: the Uncertainty of Identity Toolset. Paper presented at the ACM Security in Information and Networks, (SIN 2014), 09-09-2014 - 11-09-2014, Glasgow, UK.

Abstract

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 Type: Conference or Workshop Item (Paper)
Publisher Keywords: Identity, Online social networks, Twitter, Geographic distribution, Substring matching, Suffix tree
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Departments: School of Mathematics, Computer Science & Engineering > Engineering
School of Mathematics, Computer Science & Engineering > Engineering > Electrical & Electronic Engineering
URI: http://openaccess.city.ac.uk/id/eprint/4486
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