Forecasting network events to estimate attack risk: Integration of wavelet transform and vector auto regression with exogenous variables.
Soo-Yeon JiBong-Keun JeongCharles A. KamhouaNandi LeslieDong Hyun JeongPublished in: J. Netw. Comput. Appl. (2022)
Keyphrases
- wavelet transform
- image coding
- support vector regression
- multiscale
- causal interactions
- image compression
- computer networks
- target variable
- attack graphs
- attack graph
- natural disasters
- network structure
- event detection
- linear regression
- feature extraction
- haar wavelet
- abnormal events
- variable selection
- conditional probabilities
- feature vectors
- wavelet coefficients
- regression model
- anomaly detection
- network traffic
- wireless sensor networks
- prediction model
- risk management
- artificial neural networks
- regression analysis
- causal relationships
- short term
- high frequency
- denial of service attacks
- subband
- multiresolution