FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /

Ítems similars

• FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD
  per: DEY, SAMRAT KUMAR
  Publicat: (2019)
• AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
  per: Asaduzzaman, Md
  Publicat: (2023)
• DESIGNING SOFTWARE DEFINED RADIO (SDR) FOR SECURED MULTIMODE WIDEBAND OPERATION /
  per: Naeem, Saadi
  Publicat: (2022)
• ENHANCED DETECTION AND ANOMALY IDENTIFICATION IN CHIPLESS RFID SYSTEMS USING SCALABLE MACHINE LEARNING MODELS /
  per: Afrin, Farhana
  Publicat: (2025)
• A DEEP LEARNING-BASED APPROACH FOR DETECTING BANGLA SPAM EMAILS /
  per: Zannat, Riyadil
  Publicat: (2023)