ADAPTIVE AND AGGREGATED MODEL FUSION FOR FEDERATED INTRUSION DETECTION IN HETEROGENEOUS EDGE NETWORKS /
שמור ב:
| מחבר ראשי: | |
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| מחבר תאגידי: | |
| פורמט: | ספר |
| שפה: | אנגלית |
| יצא לאור: |
Dhaka :
CSE DEPT. MIST,
c2025.
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| נושאים: | |
| תגים: |
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
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פריטים דומים: ADAPTIVE AND AGGREGATED MODEL FUSION FOR FEDERATED INTRUSION DETECTION IN HETEROGENEOUS EDGE NETWORKS /
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
- ENHANCING CYBERSECURITY IN AUTOMOTIVE SYSTEMS: INTRUSION DETECTION WITH BOOSTING ALGORITHMS FOR CAN BUS NETWORKS /
- IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
- DETECTING THE FETAL HEALTH CONDITION USING FEDERATED LEARNING APPROACH WITH INCENTIVE-BASED REWARDS SYSTEM /
- MULTI-CNN STACKED FUSION FEATURE MODEL FOR IMAGE ALTERNATIVE TEXT GENERATION IN BENGALI /
- PERSIDANI FUSION: INVESTIGATING JAMDANI AND PERSIAN MOTIF FUSION THROUGH IMAGE PROCESSING,TRANSFER LEARNING, AND GAN /