A review on mobile SMS spam filtering techniques

MA Shafi'I, MS Abd Latiff, H Chiroma, O Osho… - IEEE …, 2017 - ieeexplore.ieee.org
Under short messaging service (SMS) spam is understood the unsolicited or undesired
messages received on mobile phones. These SMS spams constitute a veritable nuisance to …

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 …

Hybrid SMS spam filtering system using machine learning techniques

H Baaqeel, R Zagrouba - 2020 21st International Arab …, 2020 - ieeexplore.ieee.org
Due to the massive proliferation of Short Message Service (SMS), Spammers got the interest
to dig their way into it in the hope to reach more targets. Spam SMS can trick mobile users …

Robust graph clustering via meta weighting for noisy graphs

H Jo, F Bu, K Shin - Proceedings of the 32nd ACM International …, 2023 - dl.acm.org
How can we find meaningful clusters in a graph robustly against noise edges? Graph
clustering (ie, dividing nodes into groups of similar ones) is a fundamental problem in graph …

Real-time signature-based detection approach for SMS botnet

AJ Alzahrani, AA Ghorbani - 2015 13th Annual Conference on …, 2015 - ieeexplore.ieee.org
As an open platform for mobile electronic devices, Android is experiencing a steady growth
in the number of published applications (apps). Features of the Android platform have …

SMS mobile botnet detection using a multi-agent system: research in progress

AJ Alzahrani, AA Ghorbani - … of the 1st International Workshop on Agents …, 2014 - dl.acm.org
With the enormous growth of Android mobile devices and the huge increase in the number
of published applications (apps), Short Message Service (SMS) is becoming an important …

Graph centrality based spam sms detection

A Ishtiaq, MA Islam, MA Iqbal, M Aleem… - … on Applied Sciences …, 2019 - ieeexplore.ieee.org
Short messages usage has been tremendously increased such as SMS, tweets and status
updates. Due to its popularity and ease of use, many companies use it for advertisement …

Fimess: filtering mobile external sms spam

I Androulidakis, V Vlachos… - Proceedings of the 6th …, 2013 - dl.acm.org
The widespread use of mobile devices has attracted the attention of cyber-criminals, who
exploit their functionality for malevolent purposes. A very popular and well-known such …

[PDF][PDF] Graph-based KNN Algorithm for Spam SMS Detection.

TP Ho, HS Kang, SR Kim - J. Univers. Comput. Sci., 2013 - academia.edu
In the modern life, SMS (Short Message Service) is one of the most necessary services on
mobile devices. Because of its popularity, many companies use SMS as an effective …

A review of feature extraction optimization in SMS spam messages classification

K Zainal, MZ Jali - Soft Computing in Data Science: Second International …, 2016 - Springer
Spam these days has become a definite nuisance to mobile users. Provision of Short
Messages Services (SMS) has been intruded, in line with an advancement of mobile …