Pathways to identity: using visualization to aid law enforcement in identification tasks

Bruce, Joe; Scholtz, Jean; Hodges, Duncan; Emanuel, Lia; Fraser, Danaë Stanton; Creese, Sadie; Love, Oriana

doi:10.1186/s13388-014-0012-6

Cited by 2 publications

(3 citation statements)

References 18 publications

(18 reference statements)

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“…Using the concepts above and drawing on our existing identity model [13,14], the naturalness of a specific persona is defined as the extent to which that persona has features similar to those expected or standard for comparable personae online; here, expected or standard features refers to the range of profiles, contexts and model elements that are present, and inferences that are achievable, in the majority of similar personae.…”

Section: Defining and Characterising Naturalness Online Identities Anmentioning

confidence: 99%

“…To consider naturalness thoroughly, it is necessary to be aware of the range of profiles, contexts and topic areas in which data on a persona may be found online. In order to discover these aspects, we have engaged in an in-depth study of online identity data, while also reflecting on our existing research [13,14]. Figure 1 presents the conceptualisation of an individual's online presence resulting from our analysis.…”

Section: Defining and Characterising Naturalness Online Identities Anmentioning

confidence: 99%

“…We posit that through a detailed characterisation of how real personae portray themselves and act online, an approach can be crafted to detect fake or anomalous identities, particularly, those somewhat carefully maintained and used for malevolent purposes. As a basis for this approach, we draw on a comprehensive model of identity developed in our previous research [13,14]. This allows us to characterise identities, from the attributes present and the inferences that can be made from them (e.g., inferring a person's name from their email-address), to the overall existence of an identity across several sites.…”

Section: Introduction and Related Workmentioning

confidence: 99%

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Analytics for characterising and measuring the naturalness of online personae

et al. 2016

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Introduction: Currently 40 % of the world's population, around 3 billion users, are online using cyberspace for everything from work to pleasure. While there are numerous benefits accompanying this medium, the Internet is not without its perils. In this case study article, we focus specifically on the challenge of fake (or unnatural) online identities, such as those used to defraud people and organisations, with the aim of exploring an approach to detect them. Case description: In particular, through our method and case study we outline and experiment with novel analytics for characterising and measuring the naturalness of an online persona or identity; this naturalness is defined as the extent to which that persona has features similar to those expected for comparable personae online. Our case scenario involves a participant set of two types of individuals, and our aim at this stage is to use our approach to correctly characterise, and then distinguish between, these two types. Discussion and evaluation: To briefly précis our case study results, we found that our method to conceptualise an individual's complete online presence was very successful. This was undoubtedly linked to its detailed consideration of how cyberspace is typically used, while also building on our existing model of identity which has been used to aid law enforcement in identification tasks. In terms of developing effective analytics for naturalness however, improvements in our approach (e.g., features selected and nuanced metrics) are required. Moreover, the study would benefit from a larger sample size to better identify common aspects between natural personae. Conclusions: Overall, the case study allowed us to explore a novel technique to characterise naturalness and to examine its utility at detecting unnatural personae. Our goal now is to build on the study's findings in several key ways. Specifically, we aim to conduct further assessments on the criteria through which naturalness is defined, and refine our analytics and combinatorics to measure a persona's naturalness. We will also explore clustering approaches based on complete online personae, as a means to complement our identification of naturally occurring personae types in large datasets.

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Section: Defining and Characterising Naturalness Online Identities Anmentioning

confidence: 99%

Section: Defining and Characterising Naturalness Online Identities Anmentioning

confidence: 99%

Section: Introduction and Related Workmentioning

confidence: 99%

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