Efficient smishing detector using Machine Learning techniques
Truchero Visa, Roger
MetadataShow full item record
The main reason for studying and carrying out this project is the interest in the burning problem, in the company where I currently work. To be able to protect our users from text messages with malicious content we need to detect it and filter. Every day we receive millions of text messages and not always the non-legitimate messages are filtered effectively. The general purpose of the project is to develop a tool that from an SMS is capable of detecting in real time whether it contains phishing or not, to finally discard it. To perform this task, an analysis of the state of the art will be carried out to know the current systems with greater success and efficiency scores, to later implement and integrate the system with the company’s SMS sending service and filter the messages they contains phising in real time. From the beginning, it seemed to me an interesting project where many knowledges and strategies converged and in which I could acquire new ones. As well as a great opportunity to make a tool that gives an extra layer of protection to our users and enrich the other involved company services.
European research projects
The following license files are associated with this item: