The computer for the 21st century: present security & privacy challenges

Autor: Leonardo B. Oliveira, Fernando Magno Quintão Pereira, Rafael Misoczki, Diego F. Aranha, Fábio Borges, Michele Nogueira, Michelle Wangham, Min Wu, Jie Liu

Publikováno v: Journal of Internet Services and Applications, Vol 9, Iss 1, Pp 1-25 (2018)

Abstract Decades went by since Mark Weiser published his influential work on the computer of the 21st century. Over the years, some of the UbiComp features presented in that paper have been gradually adopted by industry players in the technology mark

Externí odkaz: https://doaj.org/article/f955ca40831e43b88cfc9e8623f61558

Fog orchestration for the Internet of Everything: state-of-the-art and research challenges

Autor: Karima Velasquez, David Perez Abreu, Marcio R. M. Assis, Carlos Senna, Diego F. Aranha, Luiz F. Bittencourt, Nuno Laranjeiro, Marilia Curado, Marco Vieira, Edmundo Monteiro, Edmundo Madeira

Publikováno v: Journal of Internet Services and Applications, Vol 9, Iss 1, Pp 1-23 (2018)

Abstract Recent developments in telecommunications have allowed drawing new paradigms, including the Internet of Everything, to provide services by the interconnection of different physical devices enabling the exchange of data to enrich and automate

Externí odkaz: https://doaj.org/article/b41f9332398f44a3b65baea650716f29

Providing privacy on the tuple space model

Autor: Edson Floriano, Eduardo Alchieri, Diego F. Aranha, Priscila Solis

Publikováno v: Journal of Internet Services and Applications, Vol 8, Iss 1, Pp 1-16 (2017)

Abstract Conceptually, tuple spaces are shared memory objects that provide operations to store and retrieve ordered sets of data, called tuples. Tuples stored in a tuple space are accessed by the contents of their fields, working as an associative me

Externí odkaz: https://doaj.org/article/883b2827cc1740b8a53c4a44fe4d9a14

Homomorphic evaluation of large look-up tables for inference on human genome data in the cloud

Autor: Antonio Guimaraes, Leonardo Neumann, Fernanda A. Andalo, Diego F. Aranha, Edson Borin

Publikováno v: Guimaraes, A, Neumann, L, Andaló, F A, Aranha, D F & Borin, E 2022, Homomorphic evaluation of large look-up tables for inference on human genome data in the cloud . in Proceedings-2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing Workshops, SBAC-PADW 2022 . IEEE, pp. 33-38, 2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW), Bordeaux, France, 02/11/2022 . https://doi.org/10.1109/SBAC-PADW56527.2022.00015

iDash is an annual competition for creating new solutions to tackle the challenges of securing human genome processing in untrusted environments, such as the public cloud. In this work, we propose and analyze a simple but efficient candidate for the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c73a27c6ec18f5303b62d48c7d22453
https://pure.au.dk/portal/da/publications/homomorphic-evaluation-of-large-lookup-tables-for-inference-on-human-genome-data-in-the-cloud(e3bc724a-7c84-46d5-addc-ff58116427b9).html

Faster unbalanced Private Set Intersection in the semi-honest setting

Autor: Amanda Cristina Davi Resende, Diego F. Aranha

Publikováno v: Davi Resende, A C & Aranha, D F 2021, ' Faster unbalanced Private Set Intersection in the semi-honest setting ', Journal of Cryptographic Engineering, vol. 11, no. 1, pp. 21-38 . https://doi.org/10.1007/s13389-020-00242-7

Protocols for Private Set Intersection (PSI) are important cryptographic techniques to perform joint operations on datasets in a privacy-preserving way. They allow two parties to compute the intersection of their private sets without revealing any ad

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8a544b6e80675b08822894d46ac7b69
https://doi.org/10.1007/s13389-020-00242-7