Detection of malicious software (malware) continues to be a problem as hackers devise new
ways to evade available methods. The proliferation of malware and malware variants …

Digital investigators often get involved with cases, which seemingly point the responsibility
to the person to which the computer belongs, but after a thorough examination malware is …

In many forensic investigations, questions linger regarding the identity of the authors of the
software specimen. Research has identified methods for the attribution of binary files that …

The Computer Anti-virus Research Organization (CARO) malware naming scheme was
created more than 30 years ago. During the 30 years, the malware naming scheme has …

Recently, low-level hardware micro-architecture features are widely used for malware
detection, but they always have redundant information, which will inevitably affect malware …

Local density-based outlier detection has shown to be a powerful tool for detecting outliers
in the unsupervised setting. However, most methods fail to exploit useful information such as …

Широке розповсюдження та використання інформаційних технологій спричинило
широке застосування комп'ютерної техніки у багатьох сферах. Водночас, із метою …

abstract Digital investigators often get involved with cases, which seemingly point the
responsibility to the person to which the computer belongs, but after a thorough examination …

In this quasi-experimental quantitative study, the efficacy of the k-Nearest Neighbor machine
learning algorithm was compared to signature-based antivirus when detecting crypto …