Ağ Trafiği Analizi ile Derin Öğrenme Tabanlı Android Kötücül Yazılım Tespiti
Author:
Publisher
Journal of the Faculty of Engineering and Architecture of Gazi University
Subject
General Engineering,Architecture
Reference28 articles.
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3. 3. Andrade E.D.O., Viterbo J., Vasconcelos C.N., Guérin J., Bernardini F.C., A model based on lstm neural networks to identify five different types of malware, Procedia Computer Science, 159, 182-191, 2019.
4. 4. Grønli T.M., Hansen J., Ghinea G., Younas M., Mobile application platform heterogeneity: Android vs Windows Phone vs iOS vs Firefox OS, In 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, Victoria, Kanada, 635-641, 13-16 Mayıs 2014.
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1. Görme engelliler için nesne tanıma ve resim altyazısını derin öğrenme teknikleriyle entegre eden verimli bir aktivite tanıma modeli;Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi;2024-05-20
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3. Protecting Android Devices From Malware Attacks: A State-of-the-Art Report of Concepts, Modern Learning Models and Challenges;IEEE Access;2023
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