The Role of Domain-Specific Features in Malware Detection: A macOS Case Study
International audienceDespite the growing popularity of macOS among end users and enterprise systems, malware research has primarily focused on Windows and Android operating systems, leaving the problem of macOS malware detection relatively unexplored ...
Montaruli, Biagio +3 more
core +1 more source
Intelligent malware detection on Android smartphones via a hybrid approach using gradient boosting and convolutional neural network. [PDF]
Chimeleze C, Jamil N, Zain ZM, Faruk N.
europepmc +1 more source
A domain-agnostic explainable framework for network attack detection across diverse traffic datasets. [PDF]
Alanazi A.
europepmc +1 more source
Cyber Risk Mitigation Through Malware Threat Modelling and A Strategic Implementation Framework
Malware, or malicious software, is designed to infiltrate, damage, or disrupt computer systems without user consent. The rapid growth of internet usage has led to a surge in user-generated data, which has, in turn, fuelled an increase in malware-related ...
Njatha, E.
core +1 more source
Vision transformer framework for host based cryptojacking malware detection. [PDF]
El-Shafai W, Azar AT, Alshathri S.
europepmc +1 more source
HybFusion: A holistic Android malware detection framework with advanced feature fusion and ensemble learning. [PDF]
Minh Manh V, Do Xuan C, Van NTK.
europepmc +1 more source
Validated and enriched Android application dataset: integration of VirusTotal and Quark-Engine intelligence. [PDF]
Mohsen F +4 more
europepmc +1 more source
AI-driven adaptive adversaries and the erosion of cryptographic trust in public key systems. [PDF]
Radanliev P.
europepmc +1 more source
Unveiling Linux Malware Behavior: The Importance of Execution Environments in Dynamic Analysis
openLa crescente diffusione dei dispositivi basati su Linux in server, infrastrutture cloud e dispositivi embedded ha reso questo sistema operativo un obiettivo sempre più comune per il malware. I malware moderni per Linux spesso eseguono controlli sull'
ROSA, NICOLÒ
core
RNN-based detection of IoT malware using diverse feature engineering methods. [PDF]
Abd-Ellah MK +3 more
europepmc +1 more source

