Analysis and detection of cyber attacks using encryption techniques on cloud computing
| Autor: | Al-Saedi, Ahmed Hassan Abdulwahhab |
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| Přispěvatelé: | Bulut Yılgör, Merve, Al-Saedi, Ahmed Hassan Abdulwahhab |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Popis: | The field of cyber security in the field of cloud computing occupies a wide scope in many studies and research. In this thesis, three algorithms were relied on for data analysis, which are: RNN, LSTM, and CNN within the field of machine learning, and combining both LSTM and CNN algorithms, the Kaggle dataset was used to analyze the spam messages and reasonable and stable results gained. AES-256 GCM was proposed in this thesis as a powerful encryption algorithm. |
| Databáze: | OpenAIRE |
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