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

Podobne zapisy

• FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD
  od: DEY, SAMRAT KUMAR
  Wydane: (2019)
• AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
  od: Asaduzzaman, Md
  Wydane: (2023)
• DESIGNING SOFTWARE DEFINED RADIO (SDR) FOR SECURED MULTIMODE WIDEBAND OPERATION /
  od: Naeem, Saadi
  Wydane: (2022)
• ENHANCED DETECTION AND ANOMALY IDENTIFICATION IN CHIPLESS RFID SYSTEMS USING SCALABLE MACHINE LEARNING MODELS /
  od: Afrin, Farhana
  Wydane: (2025)
• METAHEURISTIC SEARCH-BASED FEATURE SET SELECTION TECHNIQUES FOR CREDIT CARD FRAUD DETECTION /
  od: Mozumder, Ahamed Nokib
  Wydane: (2026)