SYSTEM FOR DETECTING SPAM IN SMS MESSAGES

Abstract

ABSTRACT A system (100) for detecting spam in SMS messages, comprising: a plurality of sensors configured to capture message data; a communication module coupled with the plurality of sensors, configured to upload the captured message data to a centralized analysis system; a processor communicatively coupled with the communication module, configured to: receive the message data from the centralized analysis system; analyze the message data using machine learning algorithms; determine whether the messages are spam; and generate alert notifications for users when spam is detected. <>

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of telecommunications and, in particular, to a system and method for detecting spam in SMS messages using machine learning algorithms.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] SMS (Short Message Service) has become a ubiquitous communication method, widely used for both personal and business purposes. However, the widespread use of SMS has also led to an increase in spam messages, which are unsolicited messages typically sent in , Claims:1. A system (100) for detecting spam in SMS messages, comprising:
a plurality of sensors configured to capture message data;
a communication module coupled with the plurality of sensors, configured to upload the captured message data to a centralized analysis system;
a processor communicatively coupled with the communication module, configured to:
receive the message data from the centralized analysis system;
analyze the message data using machine learning algorithms;
determine whether the messages are spam; and
generate alert notifications for users when spam is detected.

2. The system (100) as claimed in claim 1, wherein the plurality of sensors includes message content analyzers and metadata extractors.

3. The system (100) as claimed in claim 1, wherein the message data includes keywords, sender information, and message patterns.

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