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- W3112254790 abstract "Hundreds of thousands of new malicious files are being created every day. Existing pattern-based vaccine engines cannot detect these new malicious files. To solve these problems, artificial intelligence based malicious file detection methods have been proposed. However, artificial intelligence based malicious file detection method has a disadvantage that takes long time because it requires dynamic analysis. We can use similarity hashes to solve these problems and find similar files. However, it also takes a long time to compare similarity hashes when there are many files. To solve this problem, this paper proposes a method to generate hierarchical similarity hash based on M-tree." @default.
- W3112254790 created "2020-12-21" @default.
- W3112254790 creator A5078113531 @default.
- W3112254790 date "2020-12-17" @default.
- W3112254790 modified "2023-09-25" @default.
- W3112254790 title "Hierarchical Similarity Hash for Fast Malware Detection" @default.
- W3112254790 cites W2021283827 @default.
- W3112254790 cites W2021963610 @default.
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- W3112254790 doi "https://doi.org/10.1007/978-981-15-9309-3_19" @default.
- W3112254790 hasPublicationYear "2020" @default.
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