This article explores deep learning models in the field of malware detection in cyberspace,
aiming to provide insights into their relevance and contributions. The primary objective of the …

In the realm of cybersecurity, the detection and analysis of obfuscated malware remain a
critical challenge, especially in the context of memory dumps. This research paper presents …

A significant challenge in cybersecurity is the lack of a large-scale network dataset that
accurately records modern traffic patterns, a wide variety of modest incursions, and …

Rootkits are malicious programs designed to conceal their activities on compromised
systems, making them challenging to detect using conventional methods. As the threat …

Malware detection is a critical challenge in cybersecurity, exacerbated by the continuous
evolution of malicious software. Traditional security measures often fail to detect obfuscated …

The widespread adoption of Internet of Things (IoT) devices has resulted in notable progress
in different fields, improving operational effectiveness while also raising concerns about …

A major cybersecurity threat is posed by malicious software, which is constantly changing.
These novel threats are difficult for traditional signature-based detection techniques to …

Cyberattacks have significantly increased in frequency and sophistication over time. The
detection and prevention of potential attacks are becoming very difficult using traditional …

With the increasing ubiquity of computer systems and web services, the cybersecurity
landscape faces an ever-growing challenge proposed by sophisticated and elusive forms of …

Malware detection is a critical aspect of cybersecurity, with the constant evolution of
malicious software posing significant challenges to computer systems and networks …