Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ispahany, Jamil"'
In the face of increasing cyber threats, particularly ransomware attacks, there is a pressing need for advanced detection and analysis systems that adapt to evolving malware behaviours. Throughout the literature, using machine learning (ML) to obviat
Externí odkaz:
http://arxiv.org/abs/2501.01089
In response to the increasing ransomware threat, this study presents a novel detection system that integrates Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. By leveraging Sysmon logs, the system enables real-time ana
Externí odkaz:
http://arxiv.org/abs/2501.01083
Autor:
Ispahany, Jamil, Islam, Rafiqul
Throughout the COVID-19 outbreak, malicious attacks have become more pervasive and damaging than ever. Malicious intruders have been responsible for most cybercrimes committed recently and are the cause for a growing number of cyber threats, includin
Externí odkaz:
http://arxiv.org/abs/2009.09224
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.