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

Muhammad Adnan, Antonio Lima, Luca Rossi, Suresh Veluru, Paul Longley, Mirco Musolesi, Muttukrishnan Rajarajan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationSIN '14 : proceedings of the 7th international conference on Security of Information and Networks
Place of PublicationNew York, NY
PublisherACM
Pages254-260
Number of pages7
ISBN (Print)978-1-4503-3033-6
DOIs
Publication statusPublished - 9 Sep 2014
Event7th international conference on Security of Information and Networks - Glasgow, United Kingdom
Duration: 9 Sep 201411 Sep 2014

Conference

Conference7th international conference on Security of Information and Networks
CountryUnited Kingdom
CityGlasgow
Period9/09/1411/09/14

Keywords

  • geographic distribution
  • identity
  • online social networks
  • substring matching
  • suffix tree
  • Twitter

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  • Cite this

    Adnan, M., Lima, A., Rossi, L., Veluru, S., Longley, P., Musolesi, M., & Rajarajan, M. (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 (pp. 254-260). ACM. https://doi.org/10.1145/2659651.2659741