Metaheuristics for bilevel optimization: A comprehensive review

JF Camacho-Vallejo, C Corpus, JG Villegas - Computers & Operations …, 2024 - Elsevier
A bilevel programming model represents the relationship in a specific decision process that
involves decisions within a hierarchical structure of two levels. The upper-level problem is …

An ensemble approach based on fuzzy logic using machine learning classifiers for android malware detection

İ Atacak - Applied Sciences, 2023 - mdpi.com
In this study, a fuzzy logic-based dynamic ensemble (FL-BDE) model was proposed to
detect malware exposed to the Android operating system. The FL-BDE model contains a …

Bhmdc: A byte and hex n-gram based malware detection and classification method

Y Tang, X Qi, J Jing, C Liu, W Dong - Computers & Security, 2023 - Elsevier
In recent years, malware and their variants have proliferated, which poses a grave threat to
the systems and networks' security, so it is urgent to detect and classify malware in time to …

EfficientNet deep learning meta-classifier approach for image-based android malware detection

V Ravi, R Chaganti - Multimedia Tools and Applications, 2023 - Springer
A survey of literature shows that transforming the application files into images and
employing deep learning-based models for image classification has been considered as …

[HTML][HTML] GSEDroid: GNN-based android malware detection framework using lightweight semantic embedding

J Gu, H Zhu, Z Han, X Li, J Zhao - Computers & Security, 2024 - Elsevier
Currently, the prevalence of Android malware remains substantial. Malicious programs
increasingly use advanced obfuscation techniques, posing challenges for security …

Chidroid: A Mobile Android Application for Log Collection and Security Analysis in Healthcare and IoMT

S Karagiannis, LL Ribeiro, C Ntantogian, E Magkos… - Applied Sciences, 2023 - mdpi.com
The Internet of Medical Things (IoMT) is a growing trend that has led to the use of connected
devices, known as the Internet of Health. The healthcare domain has been a target of …

A lightweight and multi-stage approach for android malware detection using non-invasive machine learning techniques

L Da Costa, V Moia - IEEE Access, 2023 - ieeexplore.ieee.org
Android has been a constant target of cybercriminals that try to attack one of the most used
operating systems, commonly using malicious applications (denominated malware) that …

Immune-based system to enhance malware detection

M Jerbi, ZC Dagdia, S Bechikh… - 2023 IEEE Congress on …, 2023 - ieeexplore.ieee.org
Malicious apps use various methods to spread viruses, take control of computers and/or IoT
devices, and steal sensitive data such as credit card numbers or other personal information …

Group decision-making models for selection of virtual machine software for malware detection purposes

D Borissova, I Barzev, R Yoshinov… - 2023 12th …, 2023 - ieeexplore.ieee.org
The rapid development of ICT technologies, together with applications, has led to a huge
amount of data exchanged in the Internet space. The protection of this data, used both by …

Cognitively Inspired Three-Way Decision Making and Bi-Level Evolutionary Optimization for Mobile Cybersecurity Threats Detection: A Case Study on Android …

M Jerbi, Z Chelly Dagdia, S Bechikh, LB Said - Cognitive Computation, 2024 - Springer
Malicious apps use a variety of methods to spread infections, take over computers and/or IoT
devices, and steal sensitive data. Several detection techniques have been proposed to …