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GitHub17d
Android Malware Detection Using Machine Learning and Deep Learning
This project presents a comparative analysis of various machine learning (ML ... high-dimensional data. Detect Android malware using static analysis (without executing the apps). Compare performance ...
I know iOS is great for security, but it’s fallen behind Android in one key area
OS has been perceived as the safer smartphone platform for years, but if you look closely, Android phones offer more robust ...
AI and privacy: how machine learning is revolutionizing online security
Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...
IEEE26d
Android Based Malware Detection Technique Using Machine Learning Algorithms
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 ...
IEEE7d
Review of Android Malware Detection Based on Deep Learning
It has posed a severe threat to cyberspace security because traditional detection methods have many limitations. With the widespread application of deep learning in recent years, the method of ...
Que.com on MSN4h
Cybersecurity Weekly Recap: AI Malware and Zero-Click Exploit Threats
In an era of digitization, where data serves as the new gold, the cybersecurity landscape continues to evolve rapidly. Each ...
Ars Technica29d
Man pleads guilty to using malicious AI software to hack Disney employee
Kramer operated using the moniker NullBulge. According to researchers at VPNMentor, the program Kramer used was ComfyUI_LLMVISION ... sensitive information from machines that installed it.