Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Robyns, Pieter"'
Publikováno v:
Meeting
The General Data Protection Regulation (GDPR) “Right of Access” grants (European) natural persons the right to request and access all their personal data that is being processed by a given organization. Verifying the identity of the requester is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______105::54ca4898b7b282c81f9305f2b8ce99e9
http://hdl.handle.net/1942/29194
http://hdl.handle.net/1942/29194
Publikováno v:
Transactions on Cryptographic Hardware and Embedded Systems, Vol 2019, Iss 1 (2018)
Sensitive cryptographic information, e.g. AES secret keys, can be extracted from the electromagnetic (EM) leakages unintentionally emitted by a device using techniques such as Correlation Electromagnetic Analysis (CEMA). In this paper, we introduce C
Wicability is an open platform created for researchers, that aims to provide insights into the spatial and temporal impact of both novel and past 802.11 security vulnerabilities. This is achieved through the automated collection and analysis of large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______105::e8eaee2298f4db1186d2493ddbb36ffa
http://hdl.handle.net/1942/22600
http://hdl.handle.net/1942/22600
Akademický článek
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Autor:
ROBYNS, Pieter
With the increasing interest in mobile devices such as smartphones and tablets, more sensitive data than ever is being transmitted over wireless links. In this thesis, the impact of this trend on the privacy of wireless network users is investigated.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______105::adeb0c6b4f730bed2999c6be93b6c423
http://hdl.handle.net/1942/17516
http://hdl.handle.net/1942/17516
Autor:
Robyns, Pieter
Report on my summer student project regarding EOS quota node visualization, permissions analysis and an implementation of a file history view in Hadoop.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________65::ce10e1ccfb84d8889c0f7e1b1e6486b6
http://cds.cern.ch/record/1597940
http://cds.cern.ch/record/1597940
Publikováno v:
WISEC
from radio signals can be used to uniquely identify devices. This paper proposes and analyses a novel methodology to fingerprint LoRa devices, which is inspired by recent advances in supervised machine learning and zero-shot image classification. Con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb7b8311445c622562f4794030c49978
http://hdl.handle.net/1942/24046
http://hdl.handle.net/1942/24046