AI-driven approach for robust real-time detection of zero-day phishing websites.
Thomas NagunwaPublished in: Int. J. Inf. Comput. Secur. (2024)
Keyphrases
- real time
- artificial intelligence
- driver assistance systems
- text localization and recognition
- website
- detection algorithm
- object detection
- machine learning
- case based reasoning
- knowledge representation
- false alarms
- automatic detection
- computationally efficient
- expert systems
- detection method
- landmark detection
- data driven
- vision system
- false positives
- intelligent systems
- face detection and tracking
- detection accuracy
- reliable detection
- computer vision
- web pages
- ai systems
- noisy environments
- false positive rate
- partial occlusion
- high speed