Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Link disclosure"'
Publikováno v:
ADBIS 2018-First International Workshop on Advances on Big Data Management, Analytics, Data Privacy and Security, BigDataMAPS 2018
ADBIS 2018-First International Workshop on Advances on Big Data Management, Analytics, Data Privacy and Security, BigDataMAPS 2018, Sep 2018, Budapest, Hungary
Communications in Computer and Information Science ISBN: 9783030000622
ADBIS (Short Papers and Workshops)
ADBIS 2018-First International Workshop on Advances on Big Data Management, Analytics, Data Privacy and Security, BigDataMAPS 2018, Sep 2018, Budapest, Hungary
Communications in Computer and Information Science ISBN: 9783030000622
ADBIS (Short Papers and Workshops)
International audience; To increase awareness about privacy threats, we have designed a tool, SONSAI, for Facebook users to audit their own profiles. SONSAI predicts values of sensitive attributes by machine learning and identifies user public attrib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a5b745c34c00af95393dcb8fe3c0492
https://hal.archives-ouvertes.fr/hal-01939277/file/telerise_2018.pdf
https://hal.archives-ouvertes.fr/hal-01939277/file/telerise_2018.pdf
Autor:
Abid, Younes
Cette thèse vise à comprendre le risque de fuite d’informations personnelles sur un réseau social. Nous étudions les violations potentielles de la vie privée, concevons des attaques, prouvons leur faisabilité et analysons leur précision. Cet
Externí odkaz:
http://www.theses.fr/2018LORR0088/document
Autor:
Abid, Younes
Publikováno v:
Social and Information Networks [cs.SI]. Université de Lorraine, 2018. English. ⟨NNT : 2018LORR0088⟩
In this thesis we shed the light on the danger of privacy leakage on social network. We investigate privacy breaches, design attacks, show their feasibility and study their accuracies. This approach helps us to track the origin of threats and is a fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::38f78f065dbc75ef8b473144deee002e
https://theses.hal.science/tel-01863354
https://theses.hal.science/tel-01863354
Publikováno v:
DARLI-AP 2018-2nd International workshop on Data Analytics solutions for Real-LIfe APplications
DARLI-AP 2018-2nd International workshop on Data Analytics solutions for Real-LIfe APplications, Mar 2018, Vienne, Austria
DARLI-AP 2018-2nd International workshop on Data Analytics solutions for Real-LIfe APplications, Mar 2018, Vienne, Austria
International audience; Social networks are popular means of data sharing but they are vulnerable to privacy breaches. For instance, relating users with similar profiles an entity can predict personal data with high probability. We present SONSAI a t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2469020c44204289ea750eeb1fdefa37
https://hal.archives-ouvertes.fr/hal-01939283/document
https://hal.archives-ouvertes.fr/hal-01939283/document
Publikováno v:
The 11th International Conference on Risks and Security of Internet and Systems
The 11th International Conference on Risks and Security of Internet and Systems, Sep 2016, Roscoff, France
Lecture Notes in Computer Science ISBN: 9783319548753
CRiSIS
The 11th International Conference on Risks and Security of Internet and Systems, Sep 2016, Roscoff, France
Lecture Notes in Computer Science ISBN: 9783319548753
CRiSIS
International audience; While online social networks have become an important channel for social interactions, they also raise ethical and privacy issues. A well known fact is that social networks leak information, that may be sensitive, about users.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee873af7288e1c3d4d94a6a4152fbe6a
https://hal.inria.fr/hal-01402062/document
https://hal.inria.fr/hal-01402062/document
Autor:
Kawamoto, Junpei, Yoshikawa, Masatoshi
Publikováno v:
SCIS2010. 2010
本稿では,暗号化データベースモデルにおける関係情報推定を防ぐ新しい索引手法を提案する.従来の索引手法では,共通の条件で問い合わせた利用者集合を求めることが可能なため,
Kniha
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Kniha
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Conference
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