A comparative analysis of SMS spam detection employing machine learning methods

HY Aliza, KA Nagary, E Ahmed… - 2022 6th …, 2022 - ieeexplore.ieee.org
In recent times, the increment of mobile phone usage has resulted in a huge number of
spam messages. Spammers continuously apply more and more new tricks that cause …

Efficient spam filtering through intelligent text modification detection using machine learning

N Mageshkumar, A Vijayaraj, N Arunpriya… - Materials Today …, 2022 - Elsevier
Spam emails have long been a source of concern in the field of computer security. They are
both monetarily and technologically costly, as well as extremely harmful to computers and …

SMS Spam Detection Using Deep Learning Techniques: A Comparative Analysis of DNN Vs LSTM Vs Bi-LSTM

C Gandhi, PK Sarangi, M Saxena… - 2023 International …, 2023 - ieeexplore.ieee.org
SMS spam detection is crucial for ensuring text messaging systems' security and usability.
Spam messages, also known as unwanted text messages, can be a nuisance and be used …

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 …

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 …

Deep learning based sentiment analysis for phishing sms detection

A Sharaff, R Allenki, R Seth - Research anthology on implementing …, 2022 - igi-global.com
Sentiment analysis works on the principle of categorizing and identifying the text-based
content and the process of classifying documents into one of the predefined classes …

SMS Spam Classification Using PSO-C4. 5

D Saraswathi, D Sowmya - … Vision and Machine Intelligence Paradigms for …, 2023 - Springer
In this modern era, with the increased use of mobile communication, spam messages have
also become common. SMS spam was sent for commercial benefits thus distributing spam …

Malicious Spam Detection to Avoid Vicious Attack

D Jena, A Kumari, K Tejaswini… - 2023 14th …, 2023 - ieeexplore.ieee.org
Online spam leads to malicious attacks such as hacking, phishing, and other problems that
are more disruptive to Internet users. Online spam is currently known to be combated using …

A Machine Learning Approach for Efficient Spam Detection in Short Messaging System (SMS)

RG de Luna, VC Magnaye, RAL Reaño… - TENCON 2023-2023 …, 2023 - ieeexplore.ieee.org
Short Message Service (SMS) is a generally used communication method due to its
convenience and affordability. SMS spam message is an unauthorized text message that …

Enhancing Spam Detection: A Crow-Optimized FFNN with LSTM for Email Security

S Alsudani, H Nasrawi, M Shattawi… - Wasit Journal of …, 2024 - wjcm.uowasit.edu.iq
Email security is paramount in today's digital landscape, as the proliferation of spam emails
poses a significant threat to individuals and organizations alike. To combat this menace, this …