[PDF][PDF] SMS Spam Detection System Based on Deep Learning Architectures for Turkish and English Messages

HC Altunay, Z Albayrak - Applied Sciences, 2024 - researchgate.net
Short Message Service (SMS) still continues its existence despite the emergence of different
messaging services. It plays a part in our lives as a communication service. Companies use …

Uncovering SMS spam in swahili text using deep learning approaches

IS Mambina, JD Ndibwile, D Uwimpuhwe… - IEEE …, 2024 - ieeexplore.ieee.org
In today's communications, Short Message Service (SMS) and Internet protocol-based
messaging systems are the most widely used channels. These services are currently the …

Multi-type feature extraction and early fusion framework for SMS spam detection

HA Al-Kabbi, MR Feizi-Derakhshi… - IEEE Access, 2023 - ieeexplore.ieee.org
SMS spam is a pervasive issue that affects millions worldwide, leading to significant
inconvenience, time wastage, and potential financial scams. Given the prevalence and …

Category-learning attention mechanism for short text filtering

T Xia, X Chen - Neurocomputing, 2022 - Elsevier
In machine translation, the attention mechanism highlights relevant words according to the
distances between the source and target vectors dynamically. However, its ability to optimize …

Hybrid CNN-GRU framework with integrated pre-trained language transformer for SMS phishing detection

RE Ulfath, H Alqahtani, M Hammoudeh… - Proceedings of the 5th …, 2021 - dl.acm.org
Smartphones are prone to SMS phishing due to the rapid growth in the availability of smart
mobile technologies driven by Internet connections. Also, detecting phishing SMS is a …

Next-Generation Spam Filtering: Comparative Fine-Tuning of LLMs, NLPs, and CNN Models for Email Spam Classification

KI Roumeliotis, ND Tselikas, DK Nasiopoulos - Electronics, 2024 - mdpi.com
Spam emails and phishing attacks continue to pose significant challenges to email users
worldwide, necessitating advanced techniques for their efficient detection and classification …

A deep learning based method to detect email and SMS spams

AA Abdullahi, M Kaya - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Over the last decade, smartphone overuse has made users dependent on digital
communication tools such as Email and SMS. The use of e-mail and SMS services, which …

Improving SMS Spam Detection Through Machine Learning: An Investigation of Feature Extraction and Model Selection Techniques

W Siagian, MR Setiadi… - … Conference on Information …, 2023 - ieeexplore.ieee.org
When it comes to SMS, the topic of spam is a big obstacle that requires urgent attention. The
majority of SMS messages that fall under the category of spam are commercial …

Spam Detection in Short Message Service (SMS) Using Naïve Bayes, SVM, LSTM, and CNN

E Wijaya, G Noveliora, KD Utami… - 2023 10th …, 2023 - ieeexplore.ieee.org
Short Message Services (SMS) has been most people's habits. The numbers of SMS usage
have been growing rapidly since text messages are more effective than emails. However …

FedSpam: Privacy Preserving SMS Spam Prediction

J Sidhpura, P Shah, R Veerkhare… - … Conference on Neural …, 2022 - Springer
SMSes are a great way to communicate via short text. But, some people take advantage of
this service by spamming innocent people. Deep learning models need more SMS data to …