Browsing by Author "Dembele, Jean-Marie"

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Android malware detection: An in-depth investigation of the impact of the use of imbalance datasets on the efficiency of machine learning models

Sawadogo, Zakaria; Dembele, Jean-Marie; Mendy, Gervais; Ouya, Samuel (IEEE Xplore, 2023-03-29)

Machine learning techniques have become an essential part of research into the detection and classification of malicious applications. There are several approaches or algorithms that learn from existing data and predict ...
Mid@ndro: a Middleware Architecture for Malware Detection on Android

Sawadogo, Zakaria; Thioye, Babacar; Gaye, Ibrahima; Dembele, Jean-Marie; Mendy, Gervais; Ouya, Samuel (IEEE Xplore, 2023-12-29)

Android is a highly popular platform for mobile devices; however, it is also vulnerable to malware attacks due to the platform's ability to allow users to install apps from unverified sources. This increases the risk of ...
Zero-Vuln: Using deep learning and zero-shot learning techniques to detect zero-day Android malware

Sawadogo, Zakaria; Dembele, Jean-Marie; Mendy, Gervais; Ouya, Samuel (IEEE Xplore, 2023-09-22)

The prevalence of cyber security threats, such as the Android Zero-day vulnerability, is becoming increasingly worrisome. With the widespread use of Android-powered mobile devices, attackers are leveraging zero-day ...

Now showing items 1-3 of 3

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