Detection of zero-day attacks in computer networks using combined classification.
Hamid Gavari BamiElaheh MoharamkhaniBehrouz ZadmehrVahid NajafpoorMohammad ShokouhifarPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- computer networks
- pattern recognition
- communication networks
- classification accuracy
- network security
- support vector machine
- text classification
- object detection
- network monitoring
- computer systems
- feature vectors
- network traffic
- intrusion detection system
- training set
- detection algorithm
- security problems
- learning algorithm
- support vector machine svm
- neyman pearson
- detection method
- classification method
- machine learning
- image classification
- supervised learning
- multi class
- data model
- feature extraction
- decision trees
- anomaly detection
- model selection
- classification algorithm
- data points
- detection rate
- association rules
- support vector
- feature selection
- digital mammograms
- information retrieval