[HTML][HTML] Privacy-preserving mechanisms for location privacy in mobile crowdsensing: A survey

JW Kim, K Edemacu, B Jang - Journal of Network and Computer …, 2022 - Elsevier
With the advancement in communication techniques and sensor technologies, mobile
crowdsensing (MCS)—one of the most successful applications of crowdsourcing—has …

[HTML][HTML] A survey of differential privacy-based techniques and their applicability to location-based services

JW Kim, K Edemacu, JS Kim, YD Chung, B Jang - Computers & Security, 2021 - Elsevier
The widespread use of mobile devices such as smartphones, tablets, and smartwatches has
led users to constantly generate various location data during their daily activities …

Cblue: A chinese biomedical language understanding evaluation benchmark

N Zhang, M Chen, Z Bi, X Liang, L Li, X Shang… - arXiv preprint arXiv …, 2021 - arxiv.org
Artificial Intelligence (AI), along with the recent progress in biomedical language
understanding, is gradually changing medical practice. With the development of biomedical …

A review of anonymization for healthcare data

IE Olatunji, J Rauch, M Katzensteiner, M Khosla - Big data, 2022 - liebertpub.com
Mining health data can lead to faster medical decisions, improvement in the quality of
treatment, disease prevention, and reduced cost, and it drives innovative solutions within the …

[HTML][HTML] Design of privacy preserving model based on clustering involved anonymization along with feature selection

S Srijayanthi, T Sethukarasi - Computers & Security, 2023 - Elsevier
Healthcare services has become a hug transformation due to the number of disease
emerging at presently. Accordingly, enormous amount of data is generated regarding on the …

Privacy-preserving aggregation of personal health data streams

JW Kim, B Jang, H Yoo - PloS one, 2018 - journals.plos.org
Recently, as the paradigm of medical services has shifted from treatment to prevention, there
is a growing interest in smart healthcare that can provide users with healthcare services …

Medical data publishing based on average distribution and clustering

T Yi, M Shi, H Zhu - CAAI Transactions on Intelligence …, 2022 - Wiley Online Library
Most of the data publishing methods have not considered sensitivity protection, and hence
the adversary can disclose privacy by sensitivity attack. Faced with this problem, this paper …

From the digital data revolution toward a digital society: Pervasiveness of artificial intelligence

F Emmert-Streib - Machine Learning and Knowledge Extraction, 2021 - mdpi.com
Technological progress has led to powerful computers and communication technologies that
penetrate nowadays all areas of science, industry and our private lives. As a consequence …

Methods and tools for healthcare data anonymization: a literature review

O Vovk, G Piho, P Ross - International Journal of General Systems, 2023 - Taylor & Francis
Healthcare is a rapidly evolving field. Such development creates opportunities to provide
better quality, evidence-based treatment, however, increasing privacy violations …

[HTML][HTML] Optimization-based k-anonymity algorithms

Y Liang, R Samavi - Computers & Security, 2020 - Elsevier
In this paper we present a formulation of k-anonymity as a mathematical optimization
problem. In solving this formulated problem, k-anonymity is achieved while maximizing the …