A Data Privacy Taxonomy

Barker, Ken; Askari, Mina; Banerjee, Mishtu; Ghazinour, Kambiz; Mackas, Brenan; Majedi, Maryam; Pun, Sampson; Williams, Adepele

doi:10.1007/978-3-642-02843-4_7

Cited by 88 publications

(70 citation statements)

References 4 publications

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“…However before moving toward AES-RS model, we must introduce briefly the common models of location servers (LS) that are being used in LBS system [27], [28], 30]. These models are assorted into three basic categories including Untrusted Location Server (ULS), Trusted Location Server (TLS) and Peer to Peer based network (P2P) [29] where each model consist of three components as Mobile User Devices, Location Server and clients. In basic scenario each client interact with location server for desired POI or location finding, Location server further contact with clients to get the requested position.…”

Section: Aes-rs System Modelmentioning

confidence: 99%

AES-Route Server Model for Location based Services in Road Networks

Alrahhal¹,

Ashraf²,

Abesen³

et al. 2017

ijacsa

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Abstract-The now ubiquitous use of location based services (LBS), within the mobile computing domain, has enabled users to receive accurate points of interest (POI) to their geo-tagged queries. While location-based services provide rich content, they are not without risks; specifically, the use of LBS poses many serious challenges with respect to privacy protection. Additionally, the efficiency of spatial query processing, and the accuracy of said results, can be problematic when applied to road networks. Existing approaches provide different online route APIs to deliver the precise POI, but mobile user demand not only Accurate, Efficient and Secure (AES) results, but results that do not threaten their privacy. In this paper, we have addressed these challenges by proposing an AES-Route Server (RS) approach for LBS, which supports common spatial queries, including Range Queries and k-Nearest Neighbor Queries. We can secure the user location through the proposed AES-RS model because it provides the query results accurate and efficiently. The proposed model satisfies the primary goals including accuracy, efficiency and privacy for a location base system.

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Section: Aes-rs System Modelmentioning

confidence: 99%

AES-Route Server Model for Location based Services in Road Networks

Alrahhal¹,

Ashraf²,

Abesen³

et al. 2017

ijacsa

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“…Based on the taxonomy, Wu et al (Wu et al, 2010) asserted that privacy policies are formed by four elements: purpose, visibility, granularity and retention (of the data). However, despite adaptation, this taxonomy was still primarily aimed at providing a means for thinking about data privacy technologically (and specifically for data repositories) (Barker et al, 2009), opposed to legally. The taxonomy elements were created from principles of handling data from various sources, rather than from concrete legal requirements.…”

Section: Comparative Analysis Of Privacy Policiesmentioning

confidence: 99%

An Extended Investigation of the Similarity Between Privacy Policies of Social Networking Sites as a Precursor for Standardization

Cradock

Millard

Stalla-Bourdillon

2016

JWS

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Privacy policies are unsatisfactory in communicating information to users. Social networking sites (SNS) exemplify this, attracting growing concerns regarding their use of personal data, whilst lacking incentives to improve their policies. Standardization addresses many of these issues, but is only possible if policies share attributes that can be standardized. This investigation assessed the similarity of two attributes (the clauses and the coverage of forty recommendations made by the UK Information Commissioner) between the privacy policies of the six most frequently visited SNS globally. Similarity was also investigated by looking at whether any recommendations were not addressed by all SNS and if there were any themes of information discussed in the policies, but not included in the ICO Code. We found that similarity in the clauses was low, yet similarity in the recommendations covered was high. This indicates that SNS use different clauses, but to convey similar information. There were a number of recommendations which none of the SNS addressed. There were also four themes of information which all six SNS addressed, which were not recommended in the ICO Code. This paper proposes the policies of SNS already share attributes, indicating the feasibility of standardization at a thematic level currently. Five recommendations are made to begin facilitating this.

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“…According to a thorough analysis by Wicker and Schrader [11], privacy can be defined as the right of an individual's control over personal information. More formally this is defined by Barker et al [12] in a four dimensional privacy taxonomy. The dimensions are purpose, visibility, granularity and retention.…”

Section: B Privacymentioning

confidence: 99%

“…Furthermore, relationships on the business layer and data properties such as encryption are taken into account. The following, discriminative set of classifiers is used to determine potential threats: first, for each information object the data provider and the data collector are determined (according to the terminology defined in [12]) and it is assessed who has access to the data. This yields a list of three-tuples in the form information object (IO), data provider (DP), data collector (DC) .…”

Section: Pattern Matchingmentioning

confidence: 99%

Model-driven Privacy Assessment in the Smart Grid

Knirsch

Engel

Neureiter

et al. 2015

Proceedings of the 1st International Conference on Information Systems Security and Privacy

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Abstract-In a smart grid, data and information are transported, transmitted, stored, and processed with various stakeholders having to cooperate effectively. Furthermore, personal data is the key to many smart grid applications and therefore privacy impacts have to be taken into account. For an effective smart grid, well integrated solutions are crucial and for achieving a high degree of customer acceptance, privacy should already be considered at design time of the system. To assist system engineers in early design phase, frameworks for the automated privacy evaluation of use cases are important. For evaluation, use cases for services and software architectures need to be formally captured in a standardized and commonly understood manner. In order to ensure this common understanding for all kinds of stakeholders, reference models have recently been developed. In this paper we present a model-driven approach for the automated assessment of such services and software architectures in the smart grid that builds on the standardized reference models. The focus of qualitative and quantitative evaluation is on privacy. For evaluation, the framework draws on use cases from the University of Southern California microgrid.

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A Data Privacy Taxonomy

Cited by 88 publications

References 4 publications

AES-Route Server Model for Location based Services in Road Networks

AES-Route Server Model for Location based Services in Road Networks

An Extended Investigation of the Similarity Between Privacy Policies of Social Networking Sites as a Precursor for Standardization

Model-driven Privacy Assessment in the Smart Grid

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