ADAPTIVE AND AGGREGATED MODEL FUSION FOR FEDERATED INTRUSION DETECTION IN HETEROGENEOUS EDGE NETWORKS /
Zapisane w:
| 1. autor: | |
|---|---|
| Korporacja: | |
| Format: | Książka |
| Język: | angielski |
| Wydane: |
Dhaka :
CSE DEPT. MIST,
c2025.
|
| Hasła przedmiotowe: | |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
|
Podobne zapisy: 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 /