Using Digital Traces for User Profiling: the Uncertainty of Identity Toolset
Adnan, M., Rosi, L., Veluru, S. , Mouseli, M., Longley, P. A. & 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) |
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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 Science & Technology > Engineering |
Available under License : See the attached licence file.
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