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

مواد مشابهة

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