Results 11 to 20 of about 22,079 (262)
Privacy preservation by disassociation [PDF]
In this work, we focus on protection against identity disclosure in the publication of sparse multidimensional data. Existing multidimensional anonymization techniques (a) protect the privacy of users either by altering the set of quasi-identifiers of the original data (e.g., by generalization or suppression) or by ...
Manolis Terrovitis +3 more
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Personalized privacy preservation [PDF]
We study generalization for preserving privacy in publication of sensitive data. The existing methods focus on a universal approach that exerts the same amount of preservation for all persons, with-out catering for their concrete needs. The consequence is that we may be offering insufficient protection to a subset of people, while applying excessive ...
Xiaokui Xiao, Yufei Tao 0001
openaire +1 more source
Privacy-Preserving Passive DNS [PDF]
The Domain Name System (DNS) was created to resolve the IP addresses of web servers to easily remembered names. When it was initially created, security was not a major concern; nowadays, this lack of inherent security and trust has exposed the global DNS infrastructure to malicious actors.
Pavlos Papadopoulos +4 more
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Privacy Preserving Image Registration
v4 Accepted at Medical Image Computing and Computer Assisted Intervention (2022) 130 ...
Riccardo Taiello +4 more
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Achieving User-Defined Location Privacy Preservation Using a P2P System
As location-based services become widely used in daily life, there is growing concern in preserving location privacy of users to avoid that attackers infer information about users by collecting and analyzing requests initiated by users.
Shengchao Liu +3 more
doaj +1 more source
DP-MCDBSCAN: Differential Privacy Preserving Multi-Core DBSCAN Clustering for Network User Data
The proliferation of ubiquitous Internet and mobile devices has brought about the exponential growth of individual data in big data era. The network user data has been confronted with serious privacy concerns for extracting valuable information during ...
Lina Ni +4 more
doaj +1 more source
On Privacy-Preserving Histograms
We advance the approach initiated by Chawla et al. for sanitizing (census) data so as to preserve the privacy of respondents while simultaneously extracting "useful" statistical information. First, we extend the scope of their techniques to a broad and rich class of distributions, specifically, mixtures of highdimensional balls, spheres, Gaussians, and
Shuchi Chawla 0001 +3 more
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Privacy Preserving Average Consensus [PDF]
Average consensus is a widely used algorithm for distributed computing and control, where all the agents in the network constantly communicate and update their states in order to achieve an agreement. This approach could result in an undesirable disclosure of information on the initial state of agent i to the other agents.
Yilin Mo, Richard M. Murray
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Ensuring differential privacy of models learned from sensitive user data is an important goal that has been studied extensively in recent years. It is now known that for some basic learning problems, especially those involving high-dimensional data, producing an accurate private model requires much more data than learning without privacy.
Cynthia Dwork, Vitaly Feldman
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Privacy preservation in data intensive environment [PDF]
Healthcare data frameworks have enormously expanded accessibility of medicinal reports and profited human services administration and research work. In many cases, there are developing worries about protection in sharing restorative files.
Jyotir Moy Chatterjee +4 more
doaj +1 more source

