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In this paper, we introduce ACE, a consent-embedded searchable encryption scheme. ACE enables dynamic consent management by supporting the physical deletion of associated data at the time of consent revocation. This ensures instant real deletion of data, aligning with privacy regulations and preserving individuals' rights.
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Bern University of Applied Sciences, Technik und Informatik, Biel, Switzerland.
This systematic review investigates the application of federated learning in mental health and human activity recognition. A comprehensive search was conducted to identify studies utilizing federated learning for these domains. The included studies were evaluated based on publication year, task, dataset characteristics, federated learning algorithms, and personalization methods.
View Article and Find Full Text PDFPrivate detection of relatives in forensic genomics using homomorphic encryption.
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Intel Labs, Intel Corporation, Santa Clara, California, USA.
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bioRxiv
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Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
The introduction of trusted execution environments (TEEs), such as secure enclaves provided by the Intel SGX technology has enabled secure and privacy-preserving computation on the cloud. The stringent resource limitations, such as memory constraints, required by some TEEs necessitates the development of computational approaches with reduced memory usage, such as sketching. One example is the SkSES method for GWAS on a cohort of case and control samples from multiple institutions, which identifies the most significant SNPs in a privacy-preserving manner without disclosing sensitive genotype information to other institutions or the cloud service provider.
View Article and Find Full Text PDFAssessing the Potential of EEG in Early Detection of Alzheimer's Disease: A Systematic Comprehensive Review (2000-2023).
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Department of Biomedical Engineering, Hygiene Faculty, Medical Branch, Islamic Azad University, Tehran, Iran.
Background: As the prevalence of Alzheimer's disease (AD) grows with an aging population, the need for early diagnosis has led to increased focus on electroencephalography (EEG) as a non-invasive diagnostic tool.
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