ADAPTIVE AND AGGREGATED MODEL FUSION FOR FEDERATED INTRUSION DETECTION IN HETEROGENEOUS EDGE NETWORKS /

Samankaltaisia teoksia

• AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
  Tekijä: Asaduzzaman, Md
  Julkaistu: (2023)
• ENHANCING CYBERSECURITY IN AUTOMOTIVE SYSTEMS: INTRUSION DETECTION WITH BOOSTING ALGORITHMS FOR CAN BUS NETWORKS /
  Tekijä: IMTIAZ, KHANDAKER ASIF
  Julkaistu: (2025)
• IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
  Tekijä: Anis, Adeeba
  Julkaistu: (2024)
• DETECTING THE FETAL HEALTH CONDITION USING FEDERATED LEARNING APPROACH WITH INCENTIVE-BASED REWARDS SYSTEM /
  Tekijä: AHMED, HUMAYRA
  Julkaistu: (2026)
• MULTI-CNN STACKED FUSION FEATURE MODEL FOR IMAGE ALTERNATIVE TEXT GENERATION IN BENGALI /
  Tekijä: KAISER, SYED NAFEES
  Julkaistu: (2025)