dc.contributor.author | Özer, Erman | |
dc.contributor.author | Aydos, Hasan | |
dc.date.accessioned | 2024-11-19T07:30:00Z | |
dc.date.available | 2024-11-19T07:30:00Z | |
dc.date.issued | 2024 | en_US |
dc.identifier.citation | Özer, E., & Aydos, H. (2024). Utilizing Hybrid Encryption Methods to Ensure the Security of Financial Transactions. In 2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP) (pp. 1–4). IEEE. https://doi.org/10.1109/idap64064.2024.10710781 | en_US |
dc.identifier.isbn | 979-833153149-2 | |
dc.identifier.uri | https://doi.org/10.1109/idap64064.2024.10710781 | |
dc.identifier.uri | https://hdl.handle.net/11436/9766 | |
dc.description.abstract | This study aims to examine and evaluate encryption techniques used to enhance the security of financial transactions in banking systems. The focus is on fundamental encryption algorithms such as AES (Advanced Encryption Standard), DES (Data Encryption Standard), and RSA(Rivest-Shamir-Adleman) analyzing their performance in terms of RAM usage, processing time, and memory usage. By assessing these metrics during both encryption and decryption processes, the study seeks to determine the most reliable and effective encryption method through the combination of different techniques. The results will contribute to identifying the optimal encryption approach for protecting sensitive banking customer information. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Banking systems security | en_US |
dc.subject | Hybrid encryption | en_US |
dc.subject | Performance analysis | en_US |
dc.title | Utilizing hybrid encryption methods to ensure the security of financial transactions | en_US |
dc.type | conferenceObject | en_US |
dc.contributor.department | RTEÜ, Mühendislik ve Mimarlık Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.contributor.institutionauthor | Özer, Erman | |
dc.contributor.institutionauthor | Aydos, Hasan | |
dc.identifier.doi | 10.1109/IDAP64064.2024.10710781 | en_US |
dc.relation.journal | 8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |