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Malware detection employed by visualization and deep neural network
With the fast growth of malware's volume circulating in the wild, to obtain a timely and correct
classification is increasingly difficult. Traditional approaches to automatic classification suffer …
classification is increasingly difficult. Traditional approaches to automatic classification suffer …
A survey of stealth malware attacks, mitigation measures, and steps toward autonomous open world solutions
As our professional, social, and financial existences become increasingly digitized and as
our government, healthcare, and military infrastructures rely more on computer technologies …
our government, healthcare, and military infrastructures rely more on computer technologies …
Dynamic android malware category classification using semi-supervised deep learning
Due to the significant threat of Android mobile malware, its detection has become
increasingly important. Despite the academic and industrial attempts, devising a robust and …
increasingly important. Despite the academic and industrial attempts, devising a robust and …
Toward develo** a systematic approach to generate benchmark android malware datasets and classification
Malware detection is one of the most important factors in the security of smartphones.
Academic researchers have extensively studied Android malware detection problems …
Academic researchers have extensively studied Android malware detection problems …
Extensible android malware detection and family classification using network-flows and API-calls
Android OS-based mobile devices have attracted numerous end-users since they are
convenient to work with and offer a variety of features. As a result, Android has become one …
convenient to work with and offer a variety of features. As a result, Android has become one …
A method for automatic android malware detection based on static analysis and deep learning
The computers nowadays are being replaced by the smartphones for the most of the internet
users around the world, and Android is getting the most of the smartphone systems' market …
users around the world, and Android is getting the most of the smartphone systems' market …
On the use of artificial malicious patterns for android malware detection
Malware programs currently represent the most serious threat to computer information
systems. Despite the performed efforts of researchers in this field, detection tools still have …
systems. Despite the performed efforts of researchers in this field, detection tools still have …
Android malware detection and classification based on network traffic using deep learning
Users of smartphones in the world has grown significantly, and attacks against these
devices have increased. Many protection techniques for android malware detection have …
devices have increased. Many protection techniques for android malware detection have …
Maloid-DS: Labeled Dataset for Android Malware Forensics
Billions of people globally use Android devices (https://backlinko. com/iphone-vs-android-
statistics). As such, these devices are highly targeted by security attackers. One of the most …
statistics). As such, these devices are highly targeted by security attackers. One of the most …
Cross-method-based analysis and classification of malicious behavior by api calls extraction
Data-driven public security networking and computer systems are always under threat from
malicious codes known as malware; therefore, a large amount of research and development …
malicious codes known as malware; therefore, a large amount of research and development …