SMS Classifier With Encryption Decryption Using Machine Learning

Bhonde Vrushali Baban; Patil Renuka Rajendra; Wakle Anita Ashok; Kulkarni Mrunmayee Mangesh; Archana Sachin Gaikwad; Poornima Nandu Pathak

SMS Classifier With Encryption Decryption Using Machine Learning

Author : Bhonde Vrushali Baban, Patil Renuka Rajendra, Wakle Anita Ashok, Kulkarni Mrunmayee Mangesh, Archana Sachin Gaikwad, Poornima Nandu Pathak Journa Name: International Journal of Scientific Research & Engineering Trends Volume: 12 issue: 3 Year: Volume-12-issue-3 Views : 2

Abstract:

SMS spam is becoming more frequent as spammers use it to reach their targets. Although spam messages can be annoying, they can also be dangerous because they might try to steal personal information or direct users to harmful websites. This work explains how SMS spam is detected. It describes the different types of spam, the features used to find them, and the methods used to stop them. We also talk about some of the difficulties in identifying SMS spam and possible future methods to deal with them.