A machine learning based approach for the detection of sybil attacks in C-ITS.
Badis HammiYacine Mohamed IdirRida KhatounPublished in: APNOMS (2022)
Keyphrases
- machine learning
- false positives
- object detection
- detection algorithm
- data mining
- explanation based learning
- detection accuracy
- pattern recognition
- digital images
- detection method
- normal traffic
- malicious users
- countermeasures
- machine learning algorithms
- anomaly detection
- learning algorithm
- false alarms
- network anomaly detection
- network attacks
- attack detection
- computer vision
- feature selection
- model selection
- detection rate
- machine learning methods
- information extraction
- natural language processing
- intrusion detection system
- automatic detection
- decision trees
- machine learning approaches
- knowledge representation
- learning systems
- traffic analysis
- denial of service attacks
- artificial intelligence
- knowledge acquisition
- intrusion detection