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A Hybrid Approach for Android Malware Detection and Family Classification
With the increase in the popularity of mobile devices, malicious applications targeting Android platform have greatly increased. Malware is coded so prudently that it has become very complicated to identify. The increase ...
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 ...
Systematic Approach to Malware Analysis (SAMA)
Malware threats pose new challenges to analytic and reverse engineering tasks. It is needed for a systematic approach to that analysis, in an attempt to fully uncover their underlying attack vectors and techniques and find ...
A malware detection system inspired on the human immune system
(2012-07-23)
Malicious programs (malware) can cause severe damage on computer systems and data. The mechanism that the human immune system uses to detect and protect from organisms that threaten the human body is efficient and can be ...
A malware detection system inspired on the human immune system
(2012-07-23)
Malicious programs (malware) can cause severe damage on computer systems and data. The mechanism that the human immune system uses to detect and protect from organisms that threaten the human body is efficient and can be ...
Aplicación de una metodología de análisis de malware a una muestra de ransomware
El análisis de malware es una disciplina fundamental de cara a comprender la naturaleza,
vectores de ataque y debilidades de los sistemas con el propósito de combatir las amenazas
que surgen día a día en el mundo de la ...
Application of the SAMA methodology to Ryuk malware
Malware analysis is an essential discipline for understanding the nature, attack vectors, and weaknesses of systems to combat the threats that emerge every day in the IT security world. To this end, a malware analysis ...
“Análisis dinámico de malware en ambiente de red corporativo virtualizado””
(Quevedo-Ecuador, 2019)
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 ...