[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 …
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 …
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 …
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 …
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 …
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
Spam emails and phishing attacks continue to pose significant challenges to email users
worldwide, necessitating advanced techniques for their efficient detection and classification …
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 …
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 …
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 …
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 …
this service by spamming innocent people. Deep learning models need more SMS data to …