… , and visualize malware data. In this paper, the authors have designed two methods based
on ensemble learning and big data for improving the performance of malware detection at a …

… on Microsoft BIG 2015 dataset for nine malware variants of … on Microsoft BIG 2015 dataset
for nine malware variants of … BIG 2015 Dataset, which contains some obfuscated malware …

… malware detection system using big data and a machine learning approach. The machine
… The proposed model has also significantly reduced the learning and malware detection time …

… In this study, the use of memory data in malware detection is suggested. Malware detection
was carried out by using various deep learning and machine learning approaches in a big …

… malware we use in our experiments, or similar malware. In order to find open source text
analysing the malware, we use the known MD5 Hash of the malware … about the same malware. …

… since it is relatively difficult to collect labeled malware files from the real world. To … learning
by learning techniques with machine learning in training and testing phases. We use malware …

… However, this study is also based on the classification of Android malware detection. In
the study [40], a machine learning-based malware analysis approach based on the anomaly …

… of malware detection techniques using machine learning algorithms … various challenges for
developing malware classifiers. At last … learning is a big problem in machine-based malware …

… One of the biggest examples of such malware is Stuxnet which was designed to choke the
working of the Iranian Nuclear Power Plant’s centrifuges [9,10]. Cyber physical systems are …

… The biggest downside and challenge for analysts is the malware operation to inherit the
patterns … a framework to analyse malware [15] behaviour using machine learning automatically. …