Deanonymisation in Linked Data: A research roadmap

Al-Azizy, Dalal; Millard, David E.; Shadbolt, Nigel; O’Hara, Kieron

doi:10.1109/worldcis.2014.7028165

Cited by 2 publications

(3 citation statements)

References 13 publications

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“…Hence, this position proposes three areas for future works: P I. Other disciplines posed privacy-aware methodologies to prevent deanonymisation through data linkage [1,7], and guidelines for handling data disclosure on research depending on information retrieval and participant recruitment [10]. Investigating their transfer to mixed-method MSR studies is a future line of work, relevant to the participants' privacy restrictions and the ethical considerations of their involvement.…”

Section: The Path Forwardmentioning

confidence: 99%

“…However, providing non-aggregated/raw data may also affect privacy restrictions (e.g., anonymity and confidentiality) or even bypass the data-protection boundaries enforced by ethical committees. Although some privacy-preserving data-linkage protocols have been proposed within the current literature [1,7], their expansion to MSRs and mixed-methods remains unclear. Similarly, the analysis of outliers in datasets may lead to the identification of private information regarding those particular cases, as most anonymisation techniques (both semantic and syntactic) do not consider outliers in their process [14].…”

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confidence: 99%

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Should I Get Involved? On the Privacy Perils of Mining Software Repositories for Research Participants

Vidoni¹,

Ferreyra²

2022

Preprint

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Mining Software Repositories (MSRs) is an evidence-based methodology that cross-links data to uncover actionable information about software systems. Empirical studies in software engineering often leverage MSR techniques as they allow researchers to unveil issues and flaws in software development so as to analyse the different factors contributing to them. Hence, counting on fine-grained information about the repositories and sources being mined (e.g., server names, and contributors' identities) is essential for the reproducibility and transparency of MSR studies. However, this can also introduce threats to participants' privacy as their identities may be linked to flawed/sub-optimal programming practices (e.g., code smells, improper documentation), or vice-versa. Moreover, this can be extensible to close collaborators and community members resulting "guilty by association". This position paper aims to start a discussion about indirect participation in MSRs investigations, the dichotomy of 'privacy vs. utility' regarding sharing non-aggregated data, and its effects on privacy restrictions and ethical considerations for participant involvement. CCS CONCEPTS• Security and privacy → Privacy protections; Privacy-preserving protocols; • Software and its engineering → Software libraries and repositories.

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Section: The Path Forwardmentioning

confidence: 99%

mentioning

confidence: 99%

Should I Get Involved? On the Privacy Perils of Mining Software Repositories for Research Participants

Vidoni¹,

Ferreyra²

2022

Preprint

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“…However, it is well understood that, when aggregated with other instances of metadata, sensitive details may be inferred or reidentification may occur. This is akin to the problem of jigsaw re-identification [5] in the context of publicly available data, though, in this case, the reidentification may be undertaken by data custodians, data brokers, or third-party organisations. Notably, the issues of concern extend far beyond reidentification due to the magnitude of metadata collection and consequent analysis in the online realm.…”

Section: Introductionmentioning

confidence: 99%

Towards Models for Privacy Preservation in the Face of Metadata Exploitation

Eviette

Simpson

2021

IFIP Advances in Information and Communication Technology

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It is well understood that today's society generates enormous volumes of data, with much of that data being used to drive the emerging digital data economy. However, due to dataveillance and related concerns, the magnitude and specificity of this data has given rise to well documented privacy concerns. Amongst these concerns is the unregulated collection of online metadata. Despite being commonly used, metadata is a term that few understand. Yet its richness, prevalence and collection has serious implications for many. In this paper we describe initial work with regards to a means of allowing users to control access to metadata pertaining to them, with a view to addressing these implications. To do so, we leverage the work of the Solid data decentralisation project and build upon the notion of Category-Based Access Control.

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Deanonymisation in Linked Data: A research roadmap

Cited by 2 publications

References 13 publications

Should I Get Involved? On the Privacy Perils of Mining Software Repositories for Research Participants

Should I Get Involved? On the Privacy Perils of Mining Software Repositories for Research Participants

Towards Models for Privacy Preservation in the Face of Metadata Exploitation

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