A Machine Learning-based Approach for Detecting Smishing Attacks at End-user Level.
Rasenthiran KohilanHarsha Edirisinghe WarakagodaTharushi Thathsarani KitulgodaNimalaprakasan SkandhakumarNuwan KuruwitaarachchiPublished in: ICEBE (2023)
Keyphrases
- end users
- machine learning
- application development
- user requirements
- user experience
- user interface
- learning algorithm
- machine learning algorithms
- business intelligence
- service providers
- user driven
- network intrusion detection systems
- web applications
- countermeasures
- search tools
- internet users
- detecting malicious
- intrusion detection
- data integration
- knowledge discovery
- watermarking scheme
- decision trees
- artificial intelligence