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TEMPORAL ANOMALY DETECTION
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Classroom Contents
Applying Machine Learning to User Behavior Anomaly Analysis
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- 1 Intro
- 2 OUTLINE
- 3 USER BEHAVIOR ANALYTICS
- 4 MACHINE LEARNING
- 5 DATA SOURCES
- 6 DATA FORMATS
- 7 DATA NORMALIZATION: BEFORE
- 8 DATA NORMALIZATION: AFTER
- 9 ERP SECURITY LOGGING
- 10 THREAT MODEL Use Cases
- 11 ANOMALY TYPES
- 12 ANOMALIES VS. THREATS
- 13 STATIC ANOMALY DETECTION
- 14 CONTEXT BUILDING
- 15 CONTEXT THRESHOLD
- 16 CONTEXT MATCHING
- 17 ANOMALY ANALYSIS
- 18 TEMPORAL ANOMALY DETECTION
- 19 FEATURE ENGINEERING
- 20 FEATURE SELECTION
- 21 FEATURE ENCODING
- 22 MODEL IMPLEMENTATION
- 23 MODEL MEMORY
- 24 MODEL DESIGN Architecture
- 25 MODEL PARAMETERS
- 26 SEQUENCE LENGTH
- 27 KNOWLEDGE BASE SORTING
- 28 ADAPTIVE THRESHOLD
- 29 CONCLUSIONS
