Background For a sustainable food processing environment, robust and real-time monitoring
of pathogens is particularly important. Therefore, novel methods integrating metabolomics …

Malware attacks continue to evolve, making detection challenging for traditional static and
dynamic analysis techniques. On the other hand, memory analysis provides valuable …

Recently, the number and complexity of ran-somware attacks have been increasing day by
day, threatening more individuals and organizations, both financially and reputationally, by …

Malware is among the biggest cybersecurity threats, that are changing all the time to dodge
traditional signature-based detection. In particular, machine learning, especially deep …

Malware analysis is a critical component of cybersecurity due to the increasing
sophistication and the widespread of malicious software. Machine learning is highly …

As digital technology develops and the world becomes more interconnected, cybersecurity
has proven to be a serious worry for people, companies, and governments. This study offers …