With the proliferation of malware on IoT devices, research on IoT malicious code has also
become more mature. Most studies use learning models to detect or classify malware …

With most technical fields, there exists a delay between fundamental academic research and
practical industrial uptake. Whilst some sciences have robust and well-established …

The applications of computer networks are increasingly extensive, and networks can be
remotely controlled and monitored. Cyber hackers can exploit vulnerabilities and steal …

Malware classification has been successful in utilizing machine learning methods. However,
it is limited by the reliance on a large number of high-quality labeled datasets and the issue …

Network and system security are critical issues of overall Internet security. Scientific papers
and popular literature are full of new security issues being published and analysed daily …

The impacts of leveraging intermediate language representations outside of the standard
compilation process is an area of interest. This work contributes the following: gathering a …

The use of Machine learning has become the de-facto standard for malware defense due to
the limitations of signature-based, heuristic-based and other cloud-based techniques …

In the era of the internet and smart devices, the detection of malware has become crucial for
system security. Malware authors increasingly employ obfuscation techniques to evade …

Subject matter. This article presents the development and architecture of an automated
program complex designed to identify and analyze malicious executable files using a …

Malware (Malicious Software) has become a severe threat to society, growing in numbers
and sophistication daily. Malware writers increasingly use advanced techniques like server …