<i>e</i>MIFS: A Normalized Hyperbolic Ransomware Deterrence Model Yielding Greater Accuracy and Overall Performance

Early detection of ransomware attacks is critical for minimizing the potential damage caused by these malicious attacks. Feature selection plays a significant role in the development of an efficient and accurate ransomware early detection model. In this paper, we propose an enhanced Mutual Informati...

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Hlavní autoři:	Abdullah Alqahtani, Frederick T. Sheldon
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-03-01
Edice:	Sensors
Témata:	ransomware cyber security feature selection MIFS crypto-ransomware early detection
On-line přístup:	https://www.mdpi.com/1424-8220/24/6/1728
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