Machine learning technology has become mainstream in a large number of domains, and
cybersecurity applications of machine learning techniques are plenty. Examples include …

The availability of massive amounts of data, fast computers, and superior machine learning
(ML) algorithms has spurred interest in artificial intelligence (AI). It is no surprise, then, that …

The convolutional neural network (CNN)-based models have achieved tremendous
breakthroughs in many end-to-end applications, such as image identification, text …

In today's world, information is one of the most valuable assets, but there is a major threat to
it by the evolving second-generation sophisticated malware, because it can enter the …

The detection and classification of malwares in windows executables is an important and
demanding task in the field of data mining. The malwares can easily damage the system by …

Combating malware is very important for software/systems security, but to prevent the
software/systems from the advanced malware, viz. metamorphic malware is a challenging …

In this article, we introduce a web-based malware detection system that leverages a deep-
learning approach. Our primary objective is the development of a robust deep-learning …

Recurrent deep learning language models like the LSTM are often used to provide
advanced cyber-defense for high-value assets. The underlying assumption for using LSTM …

In this article, we delve into the realm of malware detection, We've created an advanced
deep learning method designed to classify malicious software contained in an executable …

Android devices are growing exponentially and are connected through the Internet
accessing billion of online Websites. The popularity of these devices encourages malware …