Calculating distances between Windows malware using siamese neural network embeddings
In recent years, the rate of growth of unique Windows malware samples has grown significantly. This rapid growth has made manual inspection of every malware sample an impossible task. One way to minimize this problem is through auto clustering of unknown malware samples into clusters of similar file...
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Format: | text |
Language: | English |
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Animo Repository
2021
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Online Access: | https://animorepository.dlsu.edu.ph/etdm_comsci/12 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1014&context=etdm_comsci |
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Institution: | De La Salle University |
Language: | English |
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