SMS spam filtering: Methods and data

SJ Delany, M Buckley, D Greene - Expert Systems with Applications, 2012 - Elsevier
Mobile or SMS spam is a real and growing problem primarily due to the availability of very
cheap bulk pre-pay SMS packages and the fact that SMS engenders higher response rates …

A review of soft techniques for SMS spam classification: Methods, approaches and applications

O Abayomi-Alli, S Misra, A Abayomi-Alli… - … Applications of Artificial …, 2019 - Elsevier
Background: The easy accessibility and simplicity of Short Message Services (SMS) have
made it attractive to malicious users thereby incurring unnecessary costing on the mobile …

Machine intelligence-based algorithms for spam filtering on document labeling

D Gaurav, SM Tiwari, A Goyal, N Gandhi, A Abraham - Soft Computing, 2020 - Springer
The internet has provided numerous modes for secure data transmission from one end
station to another, and email is one of those. The reason behind its popular usage is its cost …

A support vector machine based naive Bayes algorithm for spam filtering

W Feng, J Sun, L Zhang, C Cao… - 2016 IEEE 35th …, 2016 - ieeexplore.ieee.org
Naive Bayes classifiers are widely used to filter spam emails, however, the strong
independence assumptions between features limit their performance in accurately …

Twitter spam account detection based on clustering and classification methods

KS Adewole, T Han, W Wu, H Song… - The Journal of …, 2020 - Springer
Twitter social network has gained more popularity due to the increase in social activities of
registered users. Twitter performs dual functions of online social network (OSN), acting as a …

A deep learning method for automatic SMS spam classification: Performance of learning algorithms on indigenous dataset

O Abayomi‐Alli, S Misra… - … : Practice and Experience, 2022 - Wiley Online Library
SMS, one of the most popular and fast‐growing GSM value‐added services worldwide, has
attracted unwanted SMS, also known as SMS spam. The effects of SMS spam are significant …

SMS spam filtering and thread identification using bi-level text classification and clustering techniques

NK Nagwani, A Sharaff - Journal of Information Science, 2017 - journals.sagepub.com
SMS spam detection is an important task where spam SMS messages are identified and
filtered. As greater numbers of SMS messages are communicated every day, it is very …

[PDF][PDF] SMS spam filtering technique based on artificial immune system

TM Mahmoud, AM Mahfouz - International Journal of Computer …, 2012 - researchgate.net
Abstract The Short Message Service (SMS) have an important economic impact for end
users and service providers. Spam is a serious universal problem that causes problems for …

The impact of feature extraction and selection on SMS spam filtering

AK Uysal, S Gunal, S Ergin, ES Gunal - Elektronika ir Elektrotechnika, 2013 - eejournal.ktu.lt
This paper investigates the impact of several feature extraction and feature selection
approaches on filtering of short message service (SMS) spam messages in two different …

SMSAD: a framework for spam message and spam account detection

KS Adewole, NB Anuar, A Kamsin… - Multimedia Tools and …, 2019 - Springer
Short message communication media, such as mobile and microblogging social networks,
have become attractive platforms for spammers to disseminate unsolicited contents …