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

doi:10.1145/2659651.2659741

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

College of Engineering and Physical Sciences

Research output: Chapter in Book/Published conference output › Conference publication

2 Citations (Scopus)

39 Downloads (Pure)

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
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	https://doi.org/10.1145/2659651.2659741
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
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
Twitter

Access to Document

10.1145/2659651.2659741

Analysing digital traces for user profilingAccepted author manuscript, 607 KB

http://dl.acm.org/citation.cfm?doid=2659651.2659741

Cite this

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title = "The uncertainty of identity toolset: analysing digital traces for user profiling",

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.",

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pages = "254--260",

booktitle = "SIN '14 : proceedings of the 7th international conference on Security of Information and Networks",

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note = "7th international conference on Security of Information and Networks, SIN '14 ; Conference date: 09-09-2014 Through 11-09-2014",

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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. ACM, New York, NY, pp. 254-260, 7th international conference on Security of Information and Networks, Glasgow, United Kingdom, 9/09/14. https://doi.org/10.1145/2659651.2659741

TY - GEN

T1 - The uncertainty of identity toolset

T2 - 7th international conference on Security of Information and Networks

AU - Adnan, Muhammad

AU - Lima, Antonio

AU - Rossi, Luca

AU - Veluru, Suresh

AU - Longley, Paul

AU - Musolesi, Mirco

AU - Rajarajan, Muttukrishnan

PY - 2014/9/9

Y1 - 2014/9/9

N2 - 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.

AB - 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.

KW - geographic distribution

KW - identity

KW - online social networks

KW - substring matching

KW - suffix tree

KW - Twitter

UR - https://www.scopus.com/pages/publications/84938698774

U2 - 10.1145/2659651.2659741

DO - 10.1145/2659651.2659741

M3 - Conference publication

AN - SCOPUS:84938698774

SN - 978-1-4503-3033-6

SP - 254

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BT - SIN '14 : proceedings of the 7th international conference on Security of Information and Networks

PB - ACM

CY - New York, NY

Y2 - 9 September 2014 through 11 September 2014

ER -

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

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Keywords

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