Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network.
Emrah TufanCihangir TezcanCengiz AcartürkPublished in: CoRR (2021)
Keyphrases
- machine learning
- network anomaly detection
- network intrusion detection
- anomaly based intrusion detection
- traffic analysis
- network intrusion
- anomaly detection
- complex networks
- learning algorithm
- peer to peer
- network attacks
- network structure
- computer networks
- text mining
- buffer overflow
- case study
- pattern recognition
- network traffic
- machine learning methods
- intrusion detection
- knowledge discovery
- countermeasures
- data analysis
- ddos attacks
- security threats
- wireless sensor networks
- terrorist networks
- denial of service attacks
- insider threat
- decision trees
- support vector machine