Intrusion Detection System to Detect Variant Attacks Using Learning Algorithms with Automatic Generation of Training Data.
Akira YamadaYutaka MiyakeKeisuke TakemoriToshiaki TanakaPublished in: ITCC (1) (2005)
Keyphrases
- intrusion detection system
- network attacks
- training data
- learning algorithm
- misuse detection
- intrusion detection
- normal behavior
- network security
- network intrusion detection
- anomaly detection
- normal traffic
- network intrusions
- attack detection
- computer networks
- network intrusion detection systems
- network traffic
- data mining
- supervised learning
- denial of service attacks
- distributed intrusion detection
- computer security
- dos attacks
- machine learning
- intrusion prevention
- decision trees
- attack scenarios
- active learning
- labeled data
- network intrusion
- network traffic data
- alert correlation
- data sets
- training set
- cyber security
- data mining techniques
- computer systems
- lightweight
- cyber attacks
- privacy preserving
- unauthorized access
- malicious activities
- security measures