… This paper calls for the attention to investigate real-world malwares … malwares appear in
bursts and that distributions of malwares … malware prediction tools by applying machine learning …

… malware for robust cyber defenses. This paper aims at presenting the current status of the
malware … challenges using data mining, machine learning and big data perspectives. We have …

… , 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 …

… a scalable big data based analytical approach for efficient malware detect using deep …
proposed a malware detection approach based on big data analytics and machine learning. We …

… 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 …

… In this Section, we first discuss how the malware programs are characterized. Following that,
we describe the deep learning architecture. These include the design of the various layers …

… Android mobile malware detection and the malware datasets that … results of our profiling in
malware datasets. The last section … the contributions to big data and machine learning studies. …

… The potentiality of applying deep learning on simple raw data, as we propose here, is
confirmed by some works recently presented in the literature, such as [10], where an android …

… , a scalable deep learning network architecture for malware detection called ScaleMalNet
is … the application of Big Data techniques to handle vary large number of malware samples. …

… 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. …