Automatic Detection of Smishing Attacks by Machine Learning Methods
Caner Balım, Efnan Şora Günal · 2019 1st International Informatics and Software Engineering Conference (UBMYK) · 2019
Phishing is a type of cyber-attack aiming to steal people's confidential information using a bait. Smishing is a form of phishing that is carried out via SMS messages sent to mobile phones. Attackers intend to steal the private information of their victims through the content they send in their SMS messages. Therefore, the detection of smishing messages has a vital role in information security. In this work, a machine learning-based model is proposed to detect smishing messages. Experiments conducted on a relatively large dataset, which contains legitimate and smishing messages, have shown that the proposed model offers a promising detection performance.