Discover how Defendnot bypasses Microsoft Defender by registering a fake antivirus, exposing vulnerabilities in Windows' ...

This project presents a comparative analysis of various machine learning (ML) and deep learning (DL) models to detect Android malware using static features extracted from APK files. The objective is ...

A research project led ... Analysis of Android Riskware Families Using Clustering and Explainable Machine Learning’, delivers new insights in the fight against malware. While the primary goal ...

The Yara Rules project aims to ... An Obfuscation-Neglect Android Malware Scoring System *RePlugin - RePlugin - A flexible, stable, easy-to-use Android Plug-in Framework revealdroid - Paper - ...

The paper aims to assess the efficiency of machine-learning techniques in augmenting the detection and identification of Android malware. A comprehensive framework is proposed which relies on the use ...

Oz Forensics is the independent private vendor of robust, technology-based, and AI-powered liveness detection and face-matching solutions founded in 2017 and headquartered in Dubai, UAE. We confirm ...

Google is preparing to launch a significant anti-theft capability with Android 16, designed to render stolen phones inoperable. The new feature builds upon the company’s existing AI-powered security ...

Threat actors linked to lesser-known ransomware and malware projects now use AI tools as lures to infect unsuspecting victims ...

Android has long had a reputation for being more vulnerable to malware than iOS. Although the platform's open nature may have ...

Intrusion Logging is a new security feature in Android 16 that helps you determine if your phone has been compromised. Here's how it works.

A novel attack exploited machine learning models on PyPI, using zipped Pickle files to deliver infostealer malware ...