MONTAGNIER, Mme Laura (2024) Exploitation of Malware representations for Machine Learning PRE - Research Project, ENSTA.
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Abstract
The objective of this internship is to explore various malware features to train machine learning models for malware detection and classification. The task involves implementing and comparing these features by developing a simple API. Subsequently, the project will explore how to combine these representations to leverage the strengths of each approach, aiming to build a better detection or classification tool in terms of cost and accuracy. Ultimately, this internship offers an opportunity to understand and address the general challenges associated with applying machine learning to cybersecurity tasks.
Item Type: | Thesis (PRE - Research Project) |
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Uncontrolled Keywords: | Machine Learning |
Subjects: | Information and Communication Sciences and Technologies |
ID Code: | 10238 |
Deposited By: | Laura MONTAGNIER |
Deposited On: | 09 sept. 2024 17:02 |
Dernière modification: | 09 sept. 2024 17:02 |
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