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 language | English |
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Title of host publication | SIN '14 : proceedings of the 7th international conference on Security of Information and Networks |
Place of Publication | New York, NY |
Publisher | ACM |
Pages | 254-260 |
Number of pages | 7 |
ISBN (Print) | 978-1-4503-3033-6 |
DOIs | |
Publication status | Published - 9 Sept 2014 |
Event | 7th international conference on Security of Information and Networks - Glasgow, United Kingdom Duration: 9 Sept 2014 → 11 Sept 2014 |
Conference
Conference | 7th international conference on Security of Information and Networks |
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Abbreviated title | SIN '14 |
Country/Territory | United Kingdom |
City | Glasgow |
Period | 9/09/14 → 11/09/14 |
Keywords
- geographic distribution
- identity
- online social networks
- substring matching
- suffix tree