Výsledky vyhledávání - "Cagli, Eleonora"

Deep learning side-channel analysis on large-scale traces: A Case Study on a Polymorphic AES

Autor: Masure, Loïc, Belleville, Nicolas, Cagli, Eleonora, Cornélie, Marie-Angela, Couroussé, Damien, Dumas, Cécile, Maingault, Laurent

Publikováno v: Computer Security – ESORICS 2020
ESORICS 2020: Computer Security
ESORICS 2020: Computer Security, Sep 2020, Guildford, United Kingdom. pp.440-460, ⟨10.1007/978-3-030-58951-6_22⟩

ESORICS 2020 - European Symposium on Research in Computer Security; International audience; $Code\ polymorphism$ is a way to efficiently address the challenge of automatically applying the hiding of sensitive information leakage, as a way to protect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6b6bbda2fa5fc563b5679619e3838643
https://hal-cea.archives-ouvertes.fr/cea-03483683

Zobrazit plný text záznamu

Akademický článek

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Extraction de caractéristiques pour les attaques par canaux auxiliaires

Autor: Cagli, Eleonora

Publikováno v: Cryptography and Security [cs.CR]. Sorbonne Université, 2018. English. ⟨NNT : 2018SORUS295⟩

Cryptographic integrated circuits may be vulnerable to attacks based on the observation of information leakages conducted during the cryptographic algorithms' executions, the so-called Side-Channel Attacks. Nowadays the presence of several countermea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::027f6fb5f7a60ee1fdf1f148251dbe5c
https://tel.archives-ouvertes.fr/tel-02494260

Zobrazit plný text záznamu

Feature Extraction for Side-Channel Attacks

Autor: Cagli, Eleonora

Publikováno v: Cryptography and Security [cs.CR]. Sorbonne Université, 2018. English. ⟨NNT : 2018SORUS295⟩

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::027f6fb5f7a60ee1fdf1f148251dbe5c
https://tel.archives-ouvertes.fr/tel-02494260

Zobrazit plný text záznamu

Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures - Profiling Attacks Without Pre-processing

Autor: Cagli Eleonora, Dumas Cécile, Prouff Emmanuel

In the context of the security evaluation of cryptographic implementations, profiling attacks (aka Template Attacks) play a fundamental role. Nowadays the most popular Template Attack strategy consists in approximating the information leakages by Gau

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2659::14bac32a1bf77bc93597e015c9ffaf86
https://zenodo.org/record/1404232

Zobrazit plný text záznamu

Kniha

Enhancing Dimensionality Reduction Methods for Side-Channel Attacks.

Autor: Cagli, Eleonora, Dumas, Cécile, Prouff, Emmanuel

Publikováno v: Smart Card Research & Advanced Applications (9783319312705); 2016, p15-33, 19p

Zobrazit plný text záznamu

Conference

Robust DOA estimation of speech signals via sparsity models using microphone arrays.

Autor: Cagli, Eleonora, Carrera, Diego, Aletti, Giacomo, Naldi, Giovanni, Rossi, Beatrice

Publikováno v: 2013 IEEE Workshop on Applications of Signal Processing to Audio & Acoustics; 2013, p1-4, 4p

Zobrazit plný text záznamu

Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures

Autor: Cagli, Eleonora, Dumas, Cécile, Prouff, Emmanuel

Publikováno v: Lecture Notes in Computer Science
Lecture Notes in Computer Science-Cryptographic Hardware and Embedded Systems – CHES 2017
Cryptographic Hardware and Embedded Systems-CHES 2017-19th International Conference
Cryptographic Hardware and Embedded Systems-CHES 2017-19th International Conference, Sep 2017, Taipei, Taiwan

International audience; In the context of the security evaluation of cryptographic implementations, profiling attacks (aka Template Attacks) play a fundamental role. Nowadays the most popular Template Attack strategy consists in approximating the inf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f8afbbfaa381f56bb56e7f8c63a4b26c

Zobrazit plný text záznamu

Information extraction and exploitation for efficient side-channel security evaluations

Autor: Zhou, Yuanyuan

Side-channel analysis (SCA) is one pillar of security evaluations of cryptographic algorithm implementations. Due to different widely used SCA countermeasures and new evaluation requirements of using more side-channel traces and applying deep learnin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1493::30e77aca42808c9e8eaccd6761fe529c
https://hdl.handle.net/2078.1/274438

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání