Malicious File Detection Method Using Machine Learning and Interworking with MITRE ATT&CK Framework

Malicious File Detection Method Using Machine Learning and Interworking with MITRE ATT&CK Framework

With advances in cyber threats and increased intelligence, incidents continue to occur related to new ways of using new technologies. In addition, as intelligent and advanced cyberattack technologies gradually increase, the limit of inefficient malicious code detection and analysis has been reached,...

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Bibliographic Details
Main Authors: Gwanghyun Ahn, Kookjin Kim, Wonhyung Park, Dongkyoo Shin
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
MITRE ATT&CK
malware detection
dynamic analysis
machine learning
Online Access:https://www.mdpi.com/2076-3417/12/21/10761

Internet

https://www.mdpi.com/2076-3417/12/21/10761

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