Extending limited datasets with GAN-like self-supervision for SMS spam detection
Abstract Short Message Service (SMS) spamming is a harmful phishing attack on mobile
phones. That is, fraudsters are trying to misuse personal user information, using tricky text …
phones. That is, fraudsters are trying to misuse personal user information, using tricky text …
SMS Spam Detection and Classification to Combat Abuse in Telephone Networks Using Natural Language Processing
DA Oyeyemi, AK Ojo - arXiv preprint arXiv:2406.06578, 2024 - arxiv.org
In the modern era, mobile phones have become ubiquitous, and Short Message Service
(SMS) has grown to become a multi-million-dollar service due to the widespread adoption of …
(SMS) has grown to become a multi-million-dollar service due to the widespread adoption of …
Unlocking insights: Exploring Whatsapp chats and Predicting spam messages
T Nawani, P Gangane, R Raut - 2024 International Conference …, 2024 - ieeexplore.ieee.org
This paper explores WhatsApp Chat Analysis and Spam message prediction through
various functions and algorithms. Bernoulli Naive Bayes, Multinomial Naive Bayes, Logistic …
various functions and algorithms. Bernoulli Naive Bayes, Multinomial Naive Bayes, Logistic …
Content Based Classification of Short Messages using Recurrent Neural Networks in NLP
DT Bennet, PS Bennet… - … Conference on Artificial …, 2024 - ieeexplore.ieee.org
Short message spam poses a significant threat for all mobile phone users, as it can act as an
efficient tool for cyberattacks including spreading malware and phishing. Traditional anti …
efficient tool for cyberattacks including spreading malware and phishing. Traditional anti …