Results 111 to 120 of about 20,533 (244)

Detecção de Malwares Android: Levantamento Empırico da Disponibilidade e da Atualização das Fontes de Dados

, 2022
Tainá Soares, Joner Mello, Lucas Barcellos, Renato Sayyed, Guilherme Siqueira, Karina Casola, Estevão Costa, Nicolas Neves, Eduardo Feitosa, Diego Kreutz   +9 more
openalex   +2 more sources

Explainable Machine Learning for Malware Detection on Android Applications

Information
The presence of malicious software (malware), for example, in Android applications (apps), has harmful or irreparable consequences to the user and/or the device.
Catarina Palma, Artur Ferreira, Mário Figueiredo   +2 more
doaj   +1 more source

Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data

Sensors
Android malware detection remains a critical issue for mobile security. Cybercriminals target Android since it is the most popular smartphone operating system (OS). Malware detection, analysis, and classification have become diverse research areas.
Mehwish Naseer, Farhan Ullah, Samia Ijaz, Hamad Naeem, Amjad Alsirhani, Ghadah Naif Alwakid, Abdullah Alomari   +6 more
doaj   +1 more source

A Multimodal Malware Detection Technique for Android IoT Devices Using Various Features [PDF]

, 2019
Rajesh Kumar, Xiaosong Zhang, Wenyong Wang, Riaz Ullah Khan, Jay Kumar, Abubakar Sharif   +5 more
openalex   +1 more source

Automatic Generation of MAEC and STIX Standards for Android Malware Threat Intelligence [PDF]

, 2020
Jungsoo Park, Long Nguyen-Vu, George Bencivengo, Souhwan Jung   +3 more
openalex   +1 more source

Comprehensive Analysis of Android Malware detection through Semi-supervised Autoencoder models [PDF]

, 2023
Neda Firoz, Abdullah Bin Firoz, Mohammad Sadman Tahsin   +2 more
openalex   +1 more source

Android malware detection with MH-100K: An innovative dataset for advanced research. [PDF]

Data Brief, 2023
Bragança H, Rocha V, Barcellos L, Souto E, Kreutz D, Feitosa E.   +5 more
europepmc   +1 more source

Android Dynamic Malware Analysis

International Journal for Research in Applied Science and Engineering Technology
In today’s mobile computing landscape, Android-based systems are highly prevalent and frequently targeted by malicious applications that exhibit anomalous behavior. Detecting such anomalies in real time is critical for ensuring system stability, user data privacy, and overall device security. This review paper explores the implementation and evaluation
openaire   +1 more source

Android Malware Detection Using Autoencoder

, 2019
9 Pages, 4 Figures, 3 ...
Naway, Abdelmonim, Li, Yuancheng
openaire   +2 more sources

Detection of Android Malware in the Internet of Things through the K-Nearest Neighbor Algorithm. [PDF]

Sensors (Basel), 2023
Babbar H, Rani S, Sah DK, AlQahtani SA, Kashif Bashir A.   +4 more
europepmc   +1 more source