[HTML][HTML] MalHyStack: a hybrid stacked ensemble learning framework with feature engineering schemes for obfuscated malware analysis

KS Roy, T Ahmed, PB Udas, ME Karim… - Intelligent Systems with …, 2023 - Elsevier
Since the advent of malware, it has reached a toll in this world that exchanges billions of
data daily. Millions of people are victims of it, and the numbers are not decreasing as the …

Enhanced detection of obfuscated malware in memory dumps: a machine learning approach for advanced cybersecurity

MA Hossain, MS Islam - Cybersecurity, 2024 - Springer
In the realm of cybersecurity, the detection and analysis of obfuscated malware remain a
critical challenge, especially in the context of memory dumps. This research paper presents …

AI-enabled approach for enhancing obfuscated malware detection: a hybrid ensemble learning with combined feature selection techniques

MA Hossain, MA Haque, S Ahmad… - International Journal of …, 2024 - Springer
In an era where the relentless evolution of cyber threats necessitates the perpetual
advancement of security measures, the detection of obfuscated malware has emerged as a …

Towards Behavior-Based Analysis of Android Obfuscated Malware

Z Sawadogo, M Taimoor Khan, G Loukas… - … Conference on Software …, 2023 - Springer
In this paper, we report on the initial results of an ongoing project that aims to rigorously
detect obfuscated Android malware. In fact, the detection of Android malware has become …

Towards Behavior-Based Analysis

Z Sawadogo, MT Khan, G Loukas - Software Architecture. ECSA …, 2024 - books.google.com
In this paper, we report on the initial results of an ongoing project that aims to rigorously
detect obfuscated Android malware. In fact, the detection of Android malware has become …

Zero-Vuln: Using deep learning and zero-shot learning techniques to detect zero-day Android malware

Z Sawadogo, JM Dembele, G Mendy… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
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 …

Towards a DeepMalOb Improvement in the Use of Formal Security Risk Analysis Methods

Z Sawadogo, MT Khan, JM Dembelle… - 2023 IEEE 6th …, 2023 - ieeexplore.ieee.org
Researchers are concerned about the detection of obfuscated Android malware, and
multiple studies have been proposed to address certain obfuscation techniques. However …

Mid@ ndro: a Middleware Architecture for Malware Detection on Android

Z Sawadogo, B Thioye, I Gaye… - 2023 IEEE 6th …, 2023 - ieeexplore.ieee.org
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 …

[PDF][PDF] Intelligent Systems with Applications

KS Roy, T Ahmed, PB Udas, ME Karim, S Majumdar - researchgate.net
Since the advent of malware, it has reached a toll in this world that exchanges billions of
data daily. Millions of people are victims of it, and the numbers are not decreasing as the …