… features based on malware analysis. This paper highlights general framework of malware
detection … overview of performance of present malware detection systems based on features. …

… FEATURE EXTRACTION AND SELECTION … of Android malware detection in our work,
namely feature extraction implemented in AppExtractor and feature selection implemented …

… malware detection method based mainly on two methods, namely auto encoder-based
feature extraction … Then, in the feature extraction phase, we proposed to employ three different …

… , the same features used for malware detection are used for malware classification purposes.
As this paper focuses on malware classification based on the extraction of static features, …

… based malware detection, we propose a twostage dimensionality reduction approach, combining
feature selection and extraction … We introduced PCA and KPCA in the feature extraction …

… extraction approach, and an effective deep neural network architecture for accurate and fast
malware detection. … design a feature engineering solution that can run in parallel to extract …

… analysis based on large-scale computing will be one of the most effective means of
malware detection and prevention. Consequently, it is a worthy research to carry out the …

… to visualize malware binary files and propose a new method to extract effective texture
feature … In order to avoid malware detection, malware authors may pack, obfuscate, encrypt …

… Instead, we focus on automated feature engineering for malware detection and we
extract open-ended behaviors, rather than concepts from a predetermined ontology. …

… malware binaries as entropy graphs based on structural entropy. Second, we present a
feature extractor … learning to address malware detection and classification issues. Although …