Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Angelo Feraudo"'
Autor:
Jose L. Hernandez-Ramos, Sara N. Matheu, Angelo Feraudo, Gianmarco Baldini, Jorge Bernal Bernabe, Poonam Yadav, Antonio Skarmeta, Paolo Bellavista
Publikováno v:
IEEE Access, Vol 9, Pp 126265-126285 (2021)
With the strong development of the Internet of Things (IoT), the definition of IoT devices’ intended behavior is key for an effective detection of potential cybersecurity attacks and threats in an increasingly connected environment. In 2019, the Ma
Externí odkaz:
https://doaj.org/article/6f149a24ee17444886f7ca9dcf73fb20
Autor:
Paolo Bellavista, Sara N. Matheu, Gianmarco Baldini, Jose L. Hernandez-Ramos, Poonam Yadav, Jorge Bernal Bernabe, Angelo Feraudo, Antonio F. Skarmeta
Publikováno v:
Archivio istituzionale della ricerca-Alma Mater Studiorum Università di Bologna
DOAJ-Articles
ORCID
Microsoft Academic Graph
IEEE Access, Vol 9, Pp 126265-126285 (2021)
IEEE Access
DOAJ-Articles
ORCID
Microsoft Academic Graph
IEEE Access, Vol 9, Pp 126265-126285 (2021)
IEEE Access
With the strong development of the Internet of Things (IoT), the definition of IoT devices' intended behavior is key for an effective detection of potential cybersecurity attacks and threats in an increasingly connected environment. In 2019, the Manu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f6aee1efabf1b176519d2d007f3d6c0
https://zenodo.org/record/6306513
https://zenodo.org/record/6306513
Publikováno v:
AIChallengeIoT@SenSys
The popularity of the Internet of Things (IoT) devices makes it increasingly important to be able to fingerprint them, for example in order to detect if there are misbehaving or even malicious IoT devices in one's network. The aim of this paper is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b404b4565404287e5e01191dbb6ad0e
http://arxiv.org/abs/2010.08466
http://arxiv.org/abs/2010.08466
Autor:
Jon Crowcroft, Diana Andreea Popescu, Richard Mortier, Poonam Yadav, Angelo Feraudo, Shiqiang Wang, Vadim Safronov, Paolo Bellavista
Publikováno v:
EdgeSys@EuroSys
Edge computing and Federated Learning (FL) can work in tandem to address issues related to privacy and collaborative distributed learning in untrusted IoT environments. However, deployment of FL in resource-constrained IoT devices faces challenges in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::668bfa4397631b179179580efee399c8
https://doi.org/10.1145/3378679.3394528
https://doi.org/10.1145/3378679.3394528