Results 51 to 60 of about 23,477,104 (364)

Privacy-enhancing Aggregation of Internet of Things Data via Sensors Grouping

, 2018
Big data collection practices using Internet of Things (IoT) pervasive technologies are often privacy-intrusive and result in surveillance, profiling, and discriminatory actions over citizens that in turn undermine the participation of citizens to the ...
Arabie, Ardagna, Asikis, Beresford, Beresford, Chan, Ciriani, Clifton, Davidson, de Montjoye, Defays, Diekmann, Domingo-Ferrer, Duckham, Dwork, ECBT [dataset], Eibl, Eibl, Erkin, Fang, Fayyoumi, Finster, Fontaine, Gambs, Gaur, Gedik, Gentry, Goldreich, Greveler, Gruteser, Gunnthorsdottir, Haddadi, Jain, Jain, Jelasity, Jelasity, Jelasity, Kellaris, Kuhn, Lane, Laszlo, Ledyard, Li, Lu, Lua, Ma, Medaglia, Mohammed, Mármol, Nambi, Narayanan, Nax, NREL [dataset], Nunes, Panagiotakis, Paruchuri, Pellicer, Pilgerstorfer, Pournaras, Pournaras, Pudjianto, Rajagopalan, Samarati, Shaikh, Shokri, Soria-Comas, Soria-Comas, Srivatsa, Sweeney, Thiagarajan, Tsoukaneri, Vaidya, Wan, Xu, Yao, Zang, Zhang   +76 more
core   +1 more source

Privacy-Preserving Data Mashup [PDF]

2011 IEEE International Conference on Advanced Information Networking and Applications, 2011
Data Mashup is a special class of mashup application that combines information on the fly from multiple data sources to respond to transient business needs. Mashing up data requires an important programming skill on the side of mashups' creators, and involves handling many challenging privacy and security concerns raised by data providers.
Barhamgi, Mahmoud, Benslimane, Djamal, Ghedira, Chirine, Lopes Gançarski, Alda   +3 more
openaire   +1 more source

DATA PRIVACY LAWS AND COMPLIANCE: A COMPARATIVE REVIEW OF THE EU GDPR AND USA REGULATIONS

Computer Science & IT Research Journal
This Review provides an overview of the comparative review of data privacy laws and compliance, focusing on the European Union's General Data Protection Regulation (EU GDPR) and data protection regulations in the United States.
Seun Solomon Bakare, Adekunle Oyeyemi Adeniyi, Chidiogo Uzoamaka Akpuokwe, Nkechi Emmanuella Eneh   +3 more
semanticscholar   +1 more source

Data privacy preservation algorithm with k-anonymity

World wide web (Bussum), 2021
With growing concern of data privacy violations, privacy preservation processes become more intense. The k-anonymity method, a widely applied technique, transforms the data such that the publishing datasets must have at least k tuples to have the same ...
Waranya Mahanan, ·. W. A. Chaovalitwongse, J. Natwichai, Farookh Hussain, Wenny Rahayu, Makoto Takizawa   +5 more
semanticscholar   +1 more source

From the Information Bottleneck to the Privacy Funnel

, 2014
We focus on the privacy-utility trade-off encountered by users who wish to disclose some information to an analyst, that is correlated with their private data, in the hope of receiving some utility.
Fawaz, Nadia, Makhdoumi, Ali, Medard, Muriel, Salamatian, Salman   +3 more
core   +1 more source

Differentially private release of medical microdata: an efficient and practical approach for preserving informative attribute values

BMC Medical Informatics and Decision Making, 2020
Background Various methods based on k-anonymity have been proposed for publishing medical data while preserving privacy. However, the k-anonymity property assumes that adversaries possess fixed background knowledge.
Hyukki Lee, Yon Dohn Chung
doaj   +1 more source

DATA PRIVACY LAWS AND THEIR IMPACT ON FINANCIAL TECHNOLOGY COMPANIES: A REVIEW

Computer Science & IT Research Journal
In an era where the digital transformation of financial services is both a boon and a battleground, this paper meticulously navigates the intricate relationship between Financial Technology (FinTech) and the evolving landscape of data privacy laws.
Adedoyin Tolulope Oyewole, Bisola Beatrice Oguejiofor, Nkechi Emmanuella Eneh, Chidiogo Uzoamaka Akpuokwe, Seun Solomon Bakare   +4 more
semanticscholar   +1 more source

User's Privacy in Recommendation Systems Applying Online Social Network Data, A Survey and Taxonomy

, 2018
Recommender systems have become an integral part of many social networks and extract knowledge from a user's personal and sensitive data both explicitly, with the user's knowledge, and implicitly.
Aghasian, Erfan, Garg, Saurabh, Montgomery, James   +2 more
core   +1 more source

Data privacy

While many of our daily practices have become intertwined with media and communication technologies, data privacy concerns are on the rise. Privacy is an essentially contested concept, contingent on context and perspective, which poses pragmatic problems in protecting it.
Ine Van Zeeland, Jo Pierson
  +4 more sources

Machine learning concepts for correlated Big Data privacy

Journal of Big Data, 2021
With data becoming a salient asset worldwide, dependence amongst data kept on growing. Hence the real-world datasets that one works upon in today’s time are highly correlated.
Sreemoyee Biswas, N. Khare, Pragati Agrawal, Priyank Jain   +3 more
semanticscholar   +1 more source