5 matches found
MADLIRA
MADLIRA 使用学习和信息检索进行安卓恶意软件检测 概述 MADLIRA 是一款用于安卓恶意软件检测的工具。它包含两个组件:TFIDF 组件和 SVM 学习组件。总体而言,它接收一组恶意软件和良性软件作为输入,然后提取恶意行为(TFIDF 组件)或计算训练模型(SVM 分类器)。之后,它利用这些知识来检测安卓应用中的恶意行为。 安装 下载文件 MADLIRA.7z 并解压。 安装后的数据: MADLIRA.jar 是主应用程序。 noAPI.txt 声明 API 前缀。 family.txt 按家族列出恶意软件。 文件夹 TrainData 包含训练配置和训练模型。 文件夹...
BIDO
BIDO Este código pertenece a "BIDO: Un Enfoque Unificado para Abordar los Desafíos de Ofuscación y Deriva de Conceptos en la Detección de Malware Basada en Imágenes". Autor Autor: Junhui Li1, Chengbin Feng2, Zhiwei Yang1, Qi Mo1 y Wei Wang1. Institución Institución1:Escuela de Software, Universid...
Empirical Evaluation of SMOTE in Android Malware Detection with Machine Learning: Challenges and Performance in CICMalDroid 2020
Malware, malicious software designed to damage computer systems and perpetrate scams, is proliferating at an alarming rate, with thousands of new threats emerging daily. Android devices, prevalent in smartphones, smartwatches, tablets, and IoTs, represent a vast attack surface, making malware...
DMLDroid: Deep Multimodal Fusion Framework for Android Malware Detection with Resilience to Code Obfuscation and Adversarial Perturbations
In recent years, learning-based Android malware detection has seen significant advancements, with detectors generally falling into three categories: string-based, image-based, and graph-based approaches. While these methods have shown strong detection performance, they often struggle to sustain...
Understanding Concept Drift with Deprecated Permissions in Android Malware Detection
Permission analysis is a widely used method for Android malware detection. It involves examining the permissions requested by an application to access sensitive data or perform potentially malicious actions. In recent years, various machine learning ML algorithms have been applied to Android...