Malware, a lethal weapon of cyber attackers, is becoming increasingly sophisticated, with
rapid deployment and self-propagation. In addition, modern malware is one of the most …

Malware has emerged as a cyber security threat that continuously changes to target
computer systems, smart devices, and extensive networks with the development of …

Malware poses a significant threat to computer systems and networks. This necessitates the
development of effective detection mechanisms. Detection mechanisms dependent on …

The problem of malicious software (malware) detection and classification is a complex task,
and there is no perfect approach. There is still a lot of work to be done. Unlike most other …

The struggle between security analysts and malware developers is a never-ending battle
with the complexity of malware changing as quickly as innovation grows. Current state-of-the …

We investigate a Deep Learning based system for malware detection. In the investigation,
we experiment with different combination of Deep Learning architectures including Auto …

Microsoft's Windows desktop operating system has been the most popular operating system
in the domain of personal computers in recent years. The popularity of this system has also …

In this paper, we propose a deep learning framework for malware classification. There was a
big boom within the quantity of malware in current years which poses an extreme safety …

Research shows that over the last decade, malware have been growing exponentially,
causing substantial financial losses to various organizations. Different anti-malware …

Malware is one of the most frequent cyberattacks, with its prevalence growing daily across
the network. Malware traffic is always asymmetrical compared to benign traffic, which is …