A COMPREHENSIVE STUDY OF DEEP LEARNING, TEMPORAL ANALYSIS AND SEMANTIC-ANOMALY SUSION FOR IOT AND IIOT INTRUSION DETECTION /

Podobné jednotky

• AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
  Autor: Asaduzzaman, Md
  Vydáno: (2023)
• FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD
  Autor: DEY, SAMRAT KUMAR
  Vydáno: (2019)
• FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /
  Autor: Dey, Samrat Kumar
  Vydáno: (2018)
• AUTOMATIC HAND GESTURE RECOGNITION USING SEMANTIC SEGMENTATION AND DEEP LEARNING /
  Autor: Chanda, Bristy
  Vydáno: (2025)
• A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /
  Autor: Shadman, Samin
  Vydáno: (2026)