DeepMalOb: deep detection of obfuscated android malware
The detection of malware android became very crucial with the use of obfuscation
techniques by developers of malicious applications. In the literature several approaches …
techniques by developers of malicious applications. In the literature several approaches …
Employing deep ensemble learning for improving the security of computer networks against adversarial attacks
In the past few years, Convolutional Neural Networks (CNN) have demonstrated promising
performance in various real-world cybersecurity applications, such as network and …
performance in various real-world cybersecurity applications, such as network and …
Android malware detection: An in-depth investigation of the impact of the use of imbalance datasets on the efficiency of machine learning models
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 …
and classification of malicious applications. There are several approaches or algorithms that …
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 …
detect obfuscated Android malware. In fact, the detection of Android malware has become …
Android Malware Detection: Feature Update Using Incremental Learning Approach: Further Investigation of UFILA
Several kinds of mobile applications are available on platforms offering various services to
users. Both malware and good applications are found in software repositories, which is a …
users. Both malware and good applications are found in software repositories, which is a …
Towards Behavior-Based Analysis
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 …
detect obfuscated Android malware. In fact, the detection of Android malware has become …
Towards a DeepMalOb Improvement in the Use of Formal Security Risk Analysis Methods
Researchers are concerned about the detection of obfuscated Android malware, and
multiple studies have been proposed to address certain obfuscation techniques. However …
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 …
malware attacks due to the platform's ability to allow users to install apps from unverified …