Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Privacy problems"'
Autor:
Peras, Dijana, Mekovec, Renata
Publikováno v:
Information & Computer Security, 2022, Vol. 30, Issue 5, pp. 653-671.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ICS-11-2021-0182
Akademický článek
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Publikováno v:
IET Networks, Vol 7, Iss 2, Pp 74-84 (2018)
Social networks have become part of today's life; however, they also create numerous privacy problems for their users as they reveal sensitive information. Thus, the privacy preservation has become a big problem in social networks and there are sever
Externí odkaz:
https://doaj.org/article/fc6692cc292742dbb83372bb62b08c49
Autor:
Amo Filvà, Daniel, Fonseca Escudero, David, Alier Forment, Marc, García Peñalvo, Francisco José, Casany Guerrero, María José
The debate on privacy issues in Learning Analytics processes has been going on for a long time. In academic terms, various researchers attempted to identify the origin of the problem, provide solutions, and propose alternatives. However, the problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3484::d409227568bda37ce6579f0b79637000
https://hdl.handle.net/2117/378230
https://hdl.handle.net/2117/378230
Autor:
Dijana Peras, Renata Mekovec
Purpose The purpose of this paper is to improve the understanding of cloud service users’ privacy concerns, which are anticipated to considerably hinder cloud service market growth. The researchers have explored privacy concerns from dimensions tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24a73ef3ff02e8482b1943a377caa15c
https://doi.org/10.1108/ics-11-2021-0182
https://doi.org/10.1108/ics-11-2021-0182
Publikováno v:
IET Networks, Vol 7, Iss 2, Pp 74-84 (2018)
Social networks have become part of today's life; however, they also create numerous privacy problems for their users as they reveal sensitive information. Thus, the privacy preservation has become a big problem in social networks and there are sever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f090481da2f6c22d5bb0b0439b0641f
https://hdl.handle.net/11541.2/138528
https://hdl.handle.net/11541.2/138528
A well studied privacy problem in the area of smart grids is the question of how to aggregate the sum of a set of smart meter readings in a privacy friendly manner, i.e., in such a way that individual meter readings are not revealed to the adversary.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dris___00893::80cc3f7c7c70578412b193ca69272a02
http://resolver.tudelft.nl/uuid:57c8b5c4-be1a-4f8c-bc7b-39d7101a8ecd
http://resolver.tudelft.nl/uuid:57c8b5c4-be1a-4f8c-bc7b-39d7101a8ecd
Autor:
Jaap-Henk Hoepman
Publikováno v:
2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, CPSR-SG 2017. 21 April 2017, 3-7
CPSR-SG'17: Proceedings of the 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, Pittsburgh, PA, USA — April 18-21, 2017, pp. 3-7
CPSR-SG'17: Proceedings of the 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, Pittsburgh, PA, USA — April 18-21, 2017, 3-7. New york : ACM
STARTPAGE=3;ENDPAGE=7;TITLE=CPSR-SG'17: Proceedings of the 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, Pittsburgh, PA, USA — April 18-21, 2017
SPSR-SG@CPSWeek
CPSR-SG'17: Proceedings of the 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, Pittsburgh, PA, USA — April 18-21, 2017, pp. 3-7
CPSR-SG'17: Proceedings of the 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, Pittsburgh, PA, USA — April 18-21, 2017, 3-7. New york : ACM
STARTPAGE=3;ENDPAGE=7;TITLE=CPSR-SG'17: Proceedings of the 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, Pittsburgh, PA, USA — April 18-21, 2017
SPSR-SG@CPSWeek
A well studied privacy problem in the area of smart grids is the question of how to aggregate the sum of a set of smart meter readings in a privacy friendly manner, i.e., in such a way that individual meter readings are not revealed to the adversary.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eee7ae493ab3ac3e444a6fd0be511933
http://resolver.tudelft.nl/uuid:57c8b5c4-be1a-4f8c-bc7b-39d7101a8ecd
http://resolver.tudelft.nl/uuid:57c8b5c4-be1a-4f8c-bc7b-39d7101a8ecd
Publikováno v:
ICC Workshops
In this paper, the privacy problem of a parallel distributed detection system vulnerable to an eavesdropper is proposed and studied in the Neyman-Pearson formulation. The privacy leakage is evaluated by a metric related to the Neyman-Pearson criterio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee4c75bcba591504f0819943e178d8d9
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142040
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142040
Akademický článek
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