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


Autoria(s): Adnan, Muhammad; Lima, Antonio; Rossi, Luca; Veluru, Suresh; Longley, Paul; Musolesi, Mirco; Rajarajan, Muttukrishnan
Data(s)

09/09/2014

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.aston.ac.uk/26713/1/Analysing_digital_traces_for_user_profiling.pdf

Adnan, Muhammad; Lima, Antonio; Rossi, Luca; Veluru, Suresh; Longley, Paul; Musolesi, Mirco and Rajarajan, Muttukrishnan (2014). The uncertainty of identity toolset:analysing digital traces for user profiling. IN: SIN '14 : proceedings of the 7th international conference on Security of Information and Networks. New York, NY: ACM.

Publicador

ACM

Relação

http://eprints.aston.ac.uk/26713/

Tipo

Book Section

NonPeerReviewed