Results 31 to 40 of about 2,863,518 (175)

Graph-based KNN Algorithm for Spam SMS Detection

J. Univers. Comput. Sci., 2013
JUCS - Journal of Universal Computer Science Volume Nr.
Ho,Tran, Kang,Ho-Seok, Kim,Sung-Ryul
openaire   +4 more sources

Spam SMS Detection Using Naive Bayes Classifier

, 2021
Spam SMS (Short Message Service) has become a problem for mobile phone users, nowadays. When mobile phone gets flooded with spam SMS then important and genuine messages can be skipped from the sight of users.
Vijay, Shubham Kumar
core   +1 more source

COMPARISON OF NAIVE BAYES AND SVM CLASSIFIERS FOR DETECTION OF SPAM SMS USING NATURAL LANGUAGE PROCESSING

ICTACT Journal on Soft Computing, 2021
Day today’s innovative world observers an extraordinary possibility in the communication sector. Individuals will in general utilize various approaches to speak with individuals around the world.
N Krishnaveni, V Radha
doaj   +1 more source

Relevant SMS Spam Feature Selection Using Wrapper Approach and XGBoost Algorithm

Kurdistan Journal of Applied Research, 2019
In recent years with the widely usage of mobile devices, the problem of SMS Spam increased dramatically. Receiving those undesired messages continuously can cause frustration to users.
Diyari Jalal Mussa, Noor Ghazi M. Jameel
doaj   +1 more source

On Term Weighting for Spam SMS Filtering

Sakarya University Journal of Computer and Information Sciences, 2020
Due to rapid development of the technology, the usage of mobile telephones and short message services (SMS) have become widespread. Thus, the number of spam SMS messages has dramatically increased and the significance of identifying and filtering of ...
Turgut Dogan
doaj   +1 more source

SMSPROTECT: An automatic smishing detection mobile application

ICT Express, 2023
Short Messaging Service (SMS) has grown to become the most widely used feature in mobile devices. The technological advancements that birthed other alternative messaging applications have not been able to phase out the use of the SMS.
Oluwatobi Noah Akande, Oluwadara Gbenle, Oluwakemi Christiana Abikoye, Rasheed Gbenga Jimoh, Hakeem Babalola Akande, Abdullateef O. Balogun, Anuoluwapo Fatokun   +6 more
doaj   +1 more source

A SPAMTRANSFORMERMODEL FOR SMS SPAM DETECTION

International Journal of AI Electronics and Nexus Energy
 With the increasing volume of mobile communication, SMS spam has become a prevalent security issue, exposing users to fraudulent messages, scams, and unwanted advertisements. Traditional machine learning approaches such as Naïve Bayes, SVM, and classical neural networks have achieved reasonable accuracy but struggle with long-range dependencies ...
null Mrs. R.SOWJANYA, null Dr.K.KIRAN KUMAR, null Gollakummari Anusha, null Shaik Mahammad Abdulla, null Jada Veeranjaneyulu, null Ramineni Umamaheswara Rao   +5 more
openaire   +1 more source

TLMOTE: A Topic-based Language Modelling Approach for Text Oversampling

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022
Training machine learning and deep learning models on unbalanced datasets can lead to a bias portrayed by the models towards the majority classes. To tackle the problem of bias towards majority classes, researchers have presented various techniques to ...
Arjun Choudhry, Seba Susan, Anmol Bansal, Anubhav Sharma   +3 more
doaj   +1 more source

ALBERT-BiLSTM cross-attention network with progressive knowledge distillation for multi-domain SMS spam classification

Results in Engineering
SMS spam detection remains a critical challenge in digital communication systems, particularly in agriculture where farmers depend on SMS services for weather updates, crop prices, and government notifications.
B.S. Aparna, Remya S, Manu J. Pillai, Somula Rama Subbareddy, Yong Yun Cho   +4 more
doaj   +1 more source

EGMA: Ensemble Learning-Based Hybrid Model Approach for Spam Detection

Applied Sciences
Spam messages have emerged as a significant issue in digital communication, adversely affecting users’ mental health, personal safety, and network resources.
Yusuf Bilgen, Mahmut Kaya
doaj   +1 more source