Hybrid encryption based on a generative adversarial network
In today's world, encryption is crucial for protecting sensitive data. Neural networks can provide security against adversarial attacks, but meticulous training and vulnerability analysis are required to ensure their effectiveness. Hence, this research explores hybrid encryption based on a gene...
| Published in: | Indonesian Journal of Electrical Engineering and Computer Science |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195200213&doi=10.11591%2fijeecs.v35.i2.pp971-978&partnerID=40&md5=f466be2f9c4274c2b15f40b2641ffb96 |