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MMALE a methodology for malware analysis in linux environments
In a computer environment, an operating systemis prone to malware, and even the Linux operating system is not an exception. In recent years, malware has evolved, and attackers have becomemore qualified compared to a fewyears ...
IoT Honeynet com Emulação da Internet
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2019-02-25)
This work argues that the growth in numbers of IoT (Internet of Things) in our lives (eg Amazon Echo, cameras, etc.), as well as their increasing computing power, arouses the interest of hackers and consequently, their ...
Detecting Malware in Cyberphysical Systems Using Machine Learning: a Survey
Among the scientific literature, it has not been possible to find a consensus on the definition of the limits or properties that allow differentiating or grouping the cyber-physical systems (CPS) and the Internet of Things ...
Detección y Clasificación de Malware con el Sistema de Análisis de Malware Cuckoo
Actualmente el malware sigue siendo uno de los desaf´ıos mas grandes de la seguridad ´
informatica. El lanzamiento frecuente de nuevas variantes de muestras de una misma ´
familia de malware, debido a las tecnicas de ...
MDFRCNN: Malware Detection using Faster Region Proposals Convolution Neural Network
Technological advancement of smart devices has opened up a new trend: Internet of Everything (IoE), where all devices are connected to the web. Large scale networking benefits the community by increasing connectivity and ...
Building Malware Classificators usable by State Security Agencies
Sandboxing has been used regularly to analyze software samples and determine if these contain suspicious properties or behaviors. Even if sandboxing is a powerful technique to perform malware analysis, it requires that a ...
An Efficient CNN-Based Deep Learning Model to Detect Malware Attacks (CNN-DMA) in 5G-IoT Healthcare Applications
(Sensors (Basel), 2021)
The role of 5G-IoT has become indispensable in smart applications and it plays a crucial part in e-health applications. E-health applications require intelligent schemes and architectures to overcome the security threats ...
Ciberseguridad
(Corporación Universitaria para el Desarrollo de Internet (CUDI), 2017)
Modelo epidemiológico SIS para estudiar el comportamiento del malware en redes IoT
(Universidad de los AndesIngeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería de Sistemas y Computación, 2021)
Este trabajo de grado tiene como objetivo proponer el modelo epidemiológico estocástico SIS basado en cadenas de Markov para analizar el esparcimiento del malware en una red interconectada de dispositivos IoT. Para este ...
The SEIRS-NIMFA compartmental epidemic model for the analysis of IoT malware propagation
(Universidad de los AndesIngeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería Sistemas y Computación, 2023-07-07)
With IoT networks' rapid advancement and significant cybersecurity challenges, the proposal and analysis of models capable of studying malware propagation within these structures have become highly relevant. This paper ...