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Malware diffusion models for modern complex networks : theory and applications /

Malware Diffusion Models for Wireless Complex Networks: Theory and Applications provides a timely update on malicious software (malware), a serious concern for all types of network users, from laymen to experienced administrators. As the proliferation of
Karyotis, Vasileios,author., Khouzani, M. H. R.,author.   +1 more
core  

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  

THE CODE OF MALWARE AND COMPUTER VIRUSES: TECHNICAL ANALYSIS AND DEFENSE STRATEGIES

reservedDocumento relativo ai malware, virus informatici e la differenza tra questi. I primi capitoli saranno concentrati sull'analisi tecnica di questi, su come sono strutturati e su come riconoscerli, con appositi esempi.
RAMPAZZO, ALESSIA
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Análisis de Malware para móviles con sistema operativo Android. Una guía de recomendación para emprendedores

En la actualidad, los emprendedores de la ciudad de Ambato se encuentran en una creciente dependencia de los dispositivos móviles para llevar a cabo sus operaciones comerciales.
Chacha Chadan, Édgar Fabricio
core   +1 more source

Challenges in Android Malware Analysis.

ERCIM News, 2016
The best protection against malware is to execute it: a security paradox.
Viet Triem Tong, Valérie, Lalande, Jean-François, Leslous, Mourad   +2 more
openaire   +2 more sources

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

Intelligent malware detection on Android smartphones via a hybrid approach using gradient boosting and convolutional neural network. [PDF]

Sci Rep
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]

Sci Rep
Alanazi A.
europepmc   +1 more source

Vision transformer framework for host based cryptojacking malware detection. [PDF]

Sci Rep
El-Shafai W, Azar AT, Alshathri S.
europepmc   +1 more source