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 …

Android malware detection: A survey

M Odusami, O Abayomi-Alli, S Misra… - Applied Informatics: First …, 2018 - Springer
In the world today, smartphones are evolving every day and with this evolution, security
becomes a big issue. Security is an important aspect of the human existence and in a world …

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 …

[PDF][PDF] A systematic literature review on sms spam detection techniques

LN Lota, BMM Hossain - International Journal of Information …, 2017 - mecs-press.org
Spam SMSes are unsolicited messages to users, which are disturbing and sometimes
harmful. There are a lot of survey papers available on email spam detection techniques. But …

A Hierarchical Two-Level Feature Fusion Approach for SMS Spam Filtering.

HA Al-Kabbi, MR Feizi-Derakhshi… - … Automation & Soft …, 2024 - search.ebscohost.com
SMS spam poses a significant challenge to maintaining user privacy and security. Recently,
spammers have employed fraudulent writing styles to bypass spam detection systems. This …

A novel feature extraction approach in SMS spam filtering for mobile communication: one‐dimensional ternary patterns

Y Kaya, ÖF Ertuğrul - Security and communication networks, 2016 - Wiley Online Library
The importance and utilization of mobile communication are increasing day by day, and the
short message service (SMS) is one of them. Although SMS is a widely used communication …

Smishing Dataset I: Phishing SMS Dataset from Smishtank. com

D Timko, ML Rahman - arXiv preprint arXiv:2402.18430, 2024 - arxiv.org
While smishing (SMS Phishing) attacks have risen to become one of the most common types
of social engineering attacks, there is a lack of relevant smishing datasets. One of the …

An improved feature selection method for short text classification

O Abayomi-Alli, S Misra, VO Matthews… - Journal of Physics …, 2019 - iopscience.iop.org
Text has become one of the widest means of communication on mobile devices due to
cheap rate and convenience for instance short text, web document, emails, instant …

Bayesian spam detection framework on mobile device

Y Yang, G Sun, C Qiu - Recent Advances in Computer Science …, 2021 - ingentaconnect.com
Background: The spam message aimed at mobile devices has become a prevalent activity
in recent years. About 76% of mobile users received spam messages of Ads, fraud …

[PDF][PDF] Mobile SMS Spam Detection using Machine Learning Techniques

S Nagre - Journal of Emerging Technologies and Innovative …, 2018 - researchgate.net
Spam SMS be unwanted messages to users, which be worrying and from time to time
damaging. present be a group of survey papers available on SMS spam detection …