This article explores deep learning models in the field of malware detection in cyberspace,
aiming to provide insights into their relevance and contributions. The primary objective of the …

With the widespread popularity of Android Trojan spyware, detection technology for Android
Trojan spyware is very necessary to prevent financial loss. However, when considering the …

This study introduces an innovative all-in-one malware identification model that significantly
enhances convenience and resource efficiency in classifying malware across diverse file …

Data stream mining is essential in various fields such as education, the Internet of Things
(IoT), social media, entertainment, weather monitoring, and finance. This is due to the …

This paper introduces the Systematic mAlware detection in android (STAR) technique
designed to enhance accuracy in identifying and classifying Android malware, addressing …

Recent years have seen a rise in the popularity of smartphones as smart mobile devices
offering traditional services like voice calls, SMSs, multimedia services, office applications …

An ever-increasing number of malicious software programs are creating code to attack
vulnerabilities in Android Machines due to the widespread adoption of Android-based …

Identifying malicious intent within a program, also known as malware, is a critical security
task. Many detection systems remain ineffective due to the persistent emergence of zero …

This article mainly explores how to use optimized deep learning techniques for malware
detection in data-driven mode. A deep learning model was designed, which combines the …

Today, malware activities are a significant security threat to Android applications. These
risks are capable of stealing important information and creating havoc in the economy and …