Optimal Weighted Voting-Based Collaborated Malware Detection for Zero-Day Malware: A Case Study on VirusTotal and MalwareBazaar

Optimal Weighted Voting-Based Collaborated Malware Detection for Zero-Day Malware: A Case Study on VirusTotal and MalwareBazaar

We propose a detection system incorporating a weighted voting mechanism that reflects the vote’s reliability based on the accuracy of each detector’s examination, which overcomes the problem of cooperative detection. Collaborative malware detection is an effective strategy against zero-day attacks c...

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Bibliographic Details
Main Authors: Naonobu Okazaki, Shotaro Usuzaki, Tsubasa Waki, Hyoga Kawagoe, Mirang Park, Hisaaki Yamaba, Kentaro Aburada
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Future Internet
Subjects:
malware detection
collaborative security
VirusTotal
MalwareBazaar
Online Access:https://www.mdpi.com/1999-5903/16/8/259

Internet

https://www.mdpi.com/1999-5903/16/8/259

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