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Malware Detection

Malware Classification › Malware Detection 7 평가 기록 2 datasets

Malware Detection is a significant part of endpoint security including workstations, servers, cloud instances, and mobile devices. Malware Detection is used to detect and identify malicious activities caused by malware. With the increase in the variety of malware activities on CMS based websites such as malicious malware redirects on WordPress site (Aka, WordPress Malware Redirect Hack) where the site redirects to spam, being the most widespread, the need for automatic detection and classifier amplifies as well. The signature-based Malware Detection system is commonly used for existing malware that has a signature but it is not suitable for unknown malware or zero-day malware

<span class="description-source">Source: The Threat of Adversarial Attacks on Machine Learning in Network Security - A Survey </span>

개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.

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Dataset기록된 모델 예시MetricPaperCode
Graph2Vec
Accuracy: 99.03
논문 코드
SHERLOCK (family)
F1 score: 0.878
논문 코드

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