Výsledky vyhledávání - "Franjieh El Khoury"

Akademický článek

A Client/Server Malware Detection Model Based on Machine Learning for Android Devices

Autor: Arthur Fournier, Franjieh El Khoury, Samuel Pierre

Publikováno v: IoT, Vol 2, Iss 3, Pp 355-374 (2021)

The rapid adoption of Android devices comes with the growing prevalence of mobile malware, which leads to serious threats to mobile phone security and attacks private information on mobile devices. In this paper, we designed and implemented a model f

Externí odkaz: https://doaj.org/article/83b905b1ed264a23b634383f717880c2

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A Client/Server Malware Detection Model Based on Machine Learning for Android Devices

Autor: A Fournier, Franjieh El Khoury, Samuel Pierre

Publikováno v: IoT
Volume 2
Issue 3
Pages 19-374
IoT, Vol 2, Iss 19, Pp 355-374 (2021)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::433d96b67f43a0f95b5da7bc75cfe6f3

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Classification Method for Malware Detection on Android Devices

Autor: A Fournier, Samuel Pierre, Franjieh El Khoury

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030630911

Due to its popularity and open-source nature, Android is the mobile platform that has been targeted the most by malware. Android allows downloading and installation of apps from other unofficial market places. This aims to steal personal information

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e983301550eb7d31b3b85a57179f316c
https://doi.org/10.1007/978-3-030-63092-8_54

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BrainShield: A Hybrid Machine Learning-Based Malware Detection Model for Android Devices

Autor: Samuel Pierre, Ronald Beaubrun, Franjieh El Khoury, Corentin Rodrigo

Publikováno v: Electronics, Vol 10, Iss 2948, p 2948 (2021)
Electronics; Volume 10; Issue 23; Pages: 2948

Android has become the leading operating system for mobile devices, and the most targeted one by malware. Therefore, many analysis methods have been proposed for detecting Android malware. However, few of them use proper datasets for evaluation. In t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4dc9b4ff8c395689d088716567c8ee4
https://doi.org/10.3390/electronics10232948

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Clone-and-Own Software Product Derivation Based on Developer Preferences and Cost Estimation

Autor: Franjieh El Khoury, Mireille Blay-Fornarino, Badih Baz, Eddy Ghabach

Publikováno v: 12th International Conference on Research Challenges in Information Science, RCIS 2018
12th International Conference on Research Challenges in Information Science, RCIS 2018, May 2018, Nantes, France
RCIS

International audience; Clone-and-own is a common reuse practice that is widely adopted for evolving a family of software systems. However, this practice loses its effectiveness if not supported with valuable indicators that guide the derivation of n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c96037706eb8788b5259ffccd2e0802
https://hal.archives-ouvertes.fr/hal-01903006

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Guiding Clone-and-Own When Creating Unplanned Products from a Software Product Line

Autor: Eddy Ghabach, Franjieh El Khoury, Badih Baz, Mireille Blay-Fornarino

Publikováno v: International Conference on Software Reuse (ICSR)
International Conference on Software Reuse (ICSR), May 2018, Madrid, Spain
New Opportunities for Software Reuse ISBN: 9783319904207
ICSR

International audience; Clone-and-own is a simple and intuitive practice adopted to construct new product variants based on existing ones. However, when the developed family of products becomes rich, maintaining shared assets and managing variability

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c8bb5d1eb22d9f76ee26b0e7427a3ba
https://hal.archives-ouvertes.fr/hal-01903003/file/ICSR_2018_paper_29.pdf

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