Privacy markets in the Apps and IoT age

Show simple item record Pal, Ranjan Crowcroft, Jon Kumar, Abhishek Hui, Pan Haddadi, Hamed De, Swades Ng, Irene Tarkoma, Sasu Mortier, Richard 2020-02-17T14:56:01Z 2020-02-17T14:56:01Z 2018-09
dc.identifier.citation Pal , R , Crowcroft , J , Kumar , A , Hui , P , Haddadi , H , De , S , Ng , I , Tarkoma , S & Mortier , R 2018 ' Privacy markets in the Apps and IoT age ' Technical Report , no. 925 , University of Cambridge . < >
dc.identifier.other PURE: 122169527
dc.identifier.other PURE UUID: dc3fceeb-4393-41df-9866-2c446d56d9fe
dc.identifier.other ORCID: /0000-0003-4383-7225/work/70951062
dc.description @TechReport{UCAM-CL-TR-925, author = {Pal, Ranjan and Crowcroft, Jon and Kumar, Abhishek and Hui, Pan and Haddadi, Hamed and De, Swades and Ng, Irene and Tarkoma, Sasu and Mortier, Richard}, title = {{Privacy markets in the Apps and IoT age}}, year = 2018, month = sep, url = {}, institution = {University of Cambridge, Computer Laboratory}, number = {UCAM-CL-TR-925} }
dc.description.abstract In the era of the mobile apps and IoT, huge quantities of data about individuals and their activities offer a wave of opportunities for economic and societal value creation. However, the current personal data ecosystem is fragmented and inefficient. On one hand, end-users are not able to control access (either technologically, by policy, or psychologically) to their personal data which results in issues related to privacy, personal data ownership, transparency, and value distribution. On the other hand, this puts the burden of managing and protecting user data on apps and ad-driven entities (e.g., an ad-network) at a cost of trust and regulatory accountability. In such a context, data holders (e.g., apps) may take advantage of the individuals’ inability to fully comprehend and anticipate the potential uses of their private information with detrimental effects for aggregate social welfare. In this paper, we investigate the problem of the existence and design of efficient ecosystems (modeled as markets in this paper) that aim to achieve a maximum social welfare state among competing data holders by preserving the heterogeneous privacy preservation constraints up to certain compromise levels, induced by their clients, and at the same time satisfying requirements of agencies (e.g., advertisers) that collect and trade client data for the purpose of targeted advertising, assuming the potential practical inevitability of some amount inappropriate data leakage on behalf of the data holders. Using concepts from supply-function economics, we propose the first mathematically rigorous and provably optimal privacy market design paradigm that always results in unique equilibrium (i.e, stable) market states that can be either economically efficient or inefficient, depending on whether privacy trading markets are monopolistic or oligopolistic in nature. Subsequently, we characterize in closed form, the efficiency gap (if any) at market equilibrium. en
dc.format.extent 45
dc.language.iso eng
dc.publisher University of Cambridge
dc.relation.ispartofseries Technical Report
dc.rights unspecified
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 112 Statistics and probability
dc.subject privacy
dc.title Privacy markets in the Apps and IoT age en
dc.type Working paper
dc.contributor.organization Department of Computer Science
dc.contributor.organization Content-Centric Structures and Networking research group / Sasu Tarkoma
dc.contributor.organization Helsinki Institute for Information Technology
dc.relation.issn 1476-2986
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

Files in this item

Total number of downloads: Loading...

Files Size Format View
UCAM_CL_TR_925.pdf 1.602Mb PDF View/Open

This item appears in the following Collection(s)

Show simple item record