Enhancing SMS Spam Detection Using Deep Learning Models: A Comparative Study
Shailendra Singh Sikarwar, R. Arivukkodi, Dhanya Krishnane, Himanshu Sharma, Avinash Kumar Namdeo, Kaushiki Jadon · 2024
The rise in Machine Learning algorithms for identifying SMS spam has become popular due to a significant surge in unwanted text messages. Detecting SMS spam holds crucial importance for several reasons. Firstly, it can inundate mobile phone users’ message inboxes with irrelevant and unwanted messages, causing frustration and irritation. Secondly, SMS spam serves as a conduit for phishing scams, where scammers exploit fraudulent SMS messages to deceive users into divulging personal information or downloading malicious software. These scams can result in financial losses, identity theft, or other forms of fraud. Lastly, SMS spam can propagate malware or viruses, potentially compromising the security or functionality of the user’s device.