Results 41 to 50 of about 48,494 (276)

Improving MapReduce privacy by implementing multi-dimensional sensitivity-based anonymization

Journal of Big Data, 2017
Big data is predominantly associated with data retrieval, storage, and analytics. Data analytics is prone to privacy violations and data disclosures, which can be partly attributed to the multi-user characteristics of big data environments.
Mohammed Al-Zobbi, Seyed Shahrestani, Chun Ruan   +2 more
doaj   +1 more source

Utility-driven assessment of anonymized data via clustering

Scientific Data, 2022
In this study, clustering is conceived as an auxiliary tool to identify groups of special interest. This approach was applied to a real dataset concerning an entire Portuguese cohort of higher education Law students.
Maria Eugénia Ferrão, Paula Prata, Paulo Fazendeiro   +2 more
doaj   +1 more source

Assessing Data Usefulness for Failure Analysis in Anonymized System Logs

, 2018
System logs are a valuable source of information for the analysis and understanding of systems behavior for the purpose of improving their performance. Such logs contain various types of information, including sensitive information.
Ciorba, Florina M., Ghiasvand, Siavash
core   +1 more source

Time Distortion Anonymization for the Publication of Mobility Data with High Utility [PDF]

, 2015
An increasing amount of mobility data is being collected every day by different means, such as mobile applications or crowd-sensing campaigns. This data is sometimes published after the application of simple anonymization techniques (e.g., putting an ...
Brunie, Lionel, Lauradoux, Cédric, Mokhtar, Sonia Ben, Primault, Vincent   +3 more
core   +3 more sources

Data Anonymization through Collaborative Multi-view Microaggregation

Journal of Intelligent Systems, 2020
The interest in data anonymization is exponentially growing, motivated by the will of the governments to open their data. The main challenge of data anonymization is to find a balance between data utility and the amount of disclosure risk.
Zouinina Sarah, Bennani Younès, Rogovschi Nicoleta, Lyhyaoui Abdelouahid   +3 more
doaj   +1 more source

The PI3Kδ inhibitor roginolisib (IOA‐244) preserves T‐cell function and activity

Molecular Oncology, Volume 20, Issue 6, Page 1612-1625, June 2026.
Identification of novel PI3K inhibitors with limited immune‐related adverse effects is highly sought after. We found that roginolisib and idelalisib inhibit chronic lymphocytic leukemia (CLL) cells and Treg suppressive functions to similar extents, but roginolisib affects cytotoxic T‐cell function and promotion of pro‐inflammatory T helper subsets to a
Elise Solli, Alessio Bevilacqua, Mathias Wenes, Denis Migliorini, Lars van der Veen, Sigrid S Skånland, Giusy Di Conza, Kjetil Taskén   +7 more
wiley   +1 more source

Analytics on Anonymity for Privacy Retention in Smart Health Data

Future Internet, 2021
Advancements in smart technology, wearable and mobile devices, and Internet of Things, have made smart health an integral part of modern living to better individual healthcare and well-being.
Sevgi Arca, Rattikorn Hewett
doaj   +1 more source

Data Caching for Enhancing Anonymity [PDF]

2011 IEEE International Conference on Advanced Information Networking and Applications, 2011
The benefits of caching for reducing access time to frequently needed data, in order to improve system performance, are already well-known. In this paper, a proposal for employing data caching for increasing the level of anonymity provided by an anonymity system is presented.
Rajiv Bagai, Bin Tang 0004
openaire   +1 more source

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

ANONYMIZATION OF PERSONAL MEDICAL DATA BASED ON ARTIFICIAL INTELLIGENCE [PDF]

Problems of Information Society
The widespread digitalization of healthcare has led to the accumulation of substantial volumes of personal medical data, creating new opportunities for enhancing the quality of medical care, supporting informed clinical decision-making, and ...
Ramiz Shikhaliyev
doaj   +1 more source