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Saturation Attacks on DM CV-QKD: Threat Analysis and Machine Learning-Based Defense
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| Published in: | IEEE Access |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030191389507585 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | IEEE Access |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:10178 |
| institution | FRELIP |
| journal_source_facet | IEEE Access |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Saturation Attacks on DM CV-QKD: Threat Analysis and Machine Learning-Based Defense Computer Science & Information Science Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | Computer Science & Information Science Computer Science & IT Engineering & Technology Computer Science & Information Science Computer Science & IT Engineering & Technology |
| subject_facet | Computer Science & Information Science Computer Science & IT Engineering & Technology |
| title | Saturation Attacks on DM CV-QKD: Threat Analysis and Machine Learning-Based Defense |
| title_auth | Saturation Attacks on DM CV-QKD: Threat Analysis and Machine Learning-Based Defense |
| title_full | Saturation Attacks on DM CV-QKD: Threat Analysis and Machine Learning-Based Defense |
| title_fullStr | Saturation Attacks on DM CV-QKD: Threat Analysis and Machine Learning-Based Defense |
| title_full_unstemmed | Saturation Attacks on DM CV-QKD: Threat Analysis and Machine Learning-Based Defense |
| title_short | Saturation Attacks on DM CV-QKD: Threat Analysis and Machine Learning-Based Defense |
| title_sort | saturation attacks on dm cv-qkd: threat analysis and machine learning-based defense |
| topic | Computer Science & Information Science Computer Science & IT Engineering & Technology |
| url | http://ieeexplore.ieee.org/document/11429591 |