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of 3
pro vyhledávání: '"Valois , Mathieu"'
Autor:
Valois, Mathieu
Publikováno v:
Cryptographie et sécurité [cs.CR]. Normandie Université, 2019. Français. ⟨NNT : 2019NORMC251⟩
At the era where our digital identity is always more melt with our personal identity, the needs in security of our online accounts are even more pronounced. Passwords are both the most used authentication mean and the weakest link in the security cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4e614c37f4f8259e8f5613d6dc060ebf
https://hal.archives-ouvertes.fr/tel-02433905v2/file/sygal_fusion_28449-valois-mathieu.pdf
https://hal.archives-ouvertes.fr/tel-02433905v2/file/sygal_fusion_28449-valois-mathieu.pdf
Publikováno v:
JRSSI (Journées réunissant les Responsables de la Sécurité des Système d'Informations), Nov 2018, Muséum d'Histoire Naturelle, Paris. (Slides)
JRSSI (Journées réunissant les Responsables de la Sécurité des Système d'Informations), Nov 2018, Muséum d'Histoire Naturelle, Paris. (Slides), Nov 2018, Paris, France
JRSSI (Journées réunissant les Responsables de la Sécurité des Système d'Informations), Nov 2018, Muséum d'Histoire Naturelle, Paris. (Slides), Nov 2018, Paris, France
National audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a2b6f8dac4a9c3e60b2d27f4b692d1d5
https://hal.archives-ouvertes.fr/hal-02108348
https://hal.archives-ouvertes.fr/hal-02108348
Publikováno v:
SECRYPT 2018-15th International Conference on Security and Cryptography
SECRYPT 2018-15th International Conference on Security and Cryptography, Jul 2018, Porto, Portugal. 8p
[Research Report] Rapport LAAS n° 18030, REDOCS. 2018, 16p
SECRYPT 2018-15th International Conference on Security and Cryptography, Jul 2018, Porto, Portugal. 8p
[Research Report] Rapport LAAS n° 18030, REDOCS. 2018, 16p
In this report we present how we used machine learning techniques to detect malicious behaviours in PDF files.At this aim, we first set up a SVM (Support Machine Vector) classifier that was able to detect 99.7% of malware. However, this classifier wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78e0daa4d397be6e205d7f996d599437
https://hal.science/hal-01704766v2/document
https://hal.science/hal-01704766v2/document