Machine Learning Detection for SMiShing Frauds
Badr Eddine Boukari, Akshaya Ravi, Mounira Msahli
Abstract
Vishing and SMiShing frauds not only contribute to financial loss but also have social and psychological impact on the victims. The need for a simple implementable solution that protects the victims has been the necessity of the telecommunication industry for a long time. This demo displays the results of machine learning based detection system to detect SMiShing frauds and alert the users. This approach can be further adapted to detect phishing and vishing frauds.
Topics & Concepts
PhishingComputer scienceComputer securitySimple (philosophy)Machine learningArtificial intelligenceInternet privacyWorld Wide WebThe InternetPhilosophyEpistemologyImbalanced Data Classification TechniquesSpam and Phishing DetectionCybercrime and Law Enforcement Studies