Highly accurate phishing URL detection based on machine learning.
Sajjad JalilMuhammad UsmanAlvis Cheuk M. FongPublished in: J. Ambient Intell. Humaniz. Comput. (2023)
Keyphrases
- highly accurate
- machine learning
- capable of producing
- high accuracy
- high quality
- accurate models
- detection accuracy
- pattern recognition
- false positives
- data mining
- spam filtering
- feature selection
- false positive rate
- machine learning approaches
- knowledge acquisition
- automatic detection
- detection algorithm
- detection method
- machine learning algorithms
- computer science
- neural network
- artificial intelligence
- false alarms
- inductive learning
- detection rate
- supervised learning
- object detection
- machine learning methods
- anomaly detection
- model selection
- decision trees
- computational intelligence
- data analysis
- natural language processing
- countermeasures
- learning algorithm
- support vector machine