Collection and Evaluation of Standard Neural Networks for Side-Channel Analysis
Collection and Evaluation of Standard Neural Networks for Side-Channel Analysis
| Supervisor(s): | Emanuele Strieder |
| Status: | finished |
| Topic: | Others |
| Author: | Lorenz Mangold |
| Submission: | 2023-10-16 |
| Type of Thesis: | Bachelorthesis |
Thesis topic in co-operation with the Fraunhofer Institute for Applied and Integrated Security AISEC, Garching
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DescriptionAs Neural Networks become more popular and potent, they replace other Machine Learning techniques for Side-Channel Attacks. However, it is not quite clear what Neural Networks are capable of. This paper aims to look at what specific archtictures and layer configurations are most efficient at extracting the leaked information from a collected trace. In addition, the performance of Neural Networks at circumventing countermeasures will be evaluated. |
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