Machine Learning Detection for SMiShing Frauds
- Resource Type
- Conference
- Authors
- Boukari, Badr Eddine; Ravi, Akshaya; Msahli, Mounira
- Source
- 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC) Consumer Communications & Networking Conference (CCNC), 2021 IEEE 18th Annual. :1-2 Jan, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Power, Energy and Industry Applications
Signal Processing and Analysis
Measurement
Industries
Phishing
Psychology
Tools
Communications technology
Random forests
- Language
- ISSN
- 2331-9860
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.