Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network.
Emrah TufanCihangir TezcanCengiz AcartürkPublished in: IEEE Access (2021)
Keyphrases
- machine learning
- network anomaly detection
- network intrusion detection
- traffic analysis
- anomaly based intrusion detection
- network intrusion
- security threats
- case study
- intrusion prevention
- pairwise
- active learning
- anomaly detection
- intrusion detection
- learning algorithm
- machine learning methods
- network structure
- countermeasures
- ddos attacks
- denial of service attacks
- data mining
- network attacks
- intrusion detection and prevention
- reinforcement learning
- security risks
- feature selection
- security protocols
- security mechanisms
- higher education
- machine learning algorithms
- peer to peer
- pattern recognition