A Review on Mobile SMS Spam Filtering Techniques

被引：33

作者：

Abdulhamid, Shafi'I Muhammad ^{[1
]}

Abd Latiff, Muhammad Shafie ^{[2
]}

Chiroma, Haruna ^{[3
]}

Osho, Oluwafemi ^{[1
]}

Abdul-Salaam, Gaddafi ^{[5
]}

Abubakar, Adamu I. ^{[6
]}

Herawan, Tutut ^{[4
]}

机构：

[1] Fed Univ Technol, Dept Cyber Secur Sci, Minna 65, Nigeria

[2] Univ Teknol Malaysia, Fac Comp, Johor Baharu 81310, Malaysia

[3] Fed Coll Educ Tech, Gombe 60, Nigeria

[4] AMCS Res Ctr, Yogyakarta 1003, Indonesia

[5] Kwame Nkrumah Univ Sci & Technol, Kumasi 3419, Ghana

[6] Int Islamic Univ Malaysia, Dept Informat Syst, Kuala Lumpur 50728, Malaysia

来源：

IEEE ACCESS | 2017年 / 5卷

关键词：

Review; spam; mobile SMS; access layer; service provider layer; VECTOR MACHINE; SHORT MESSAGES; ALGORITHM; OPTIMIZATION; SEARCH;

D O I：

10.1109/ACCESS.2017.2666785

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 the mobile subscribers. This marketing practice also worries service providers in view of the fact that it upsets their clients or even causes them lose subscribers. By way of mitigating this practice, researchers have proposed several solutions for the detection and filtering of SMS spams. In this paper, we present a review of the currently available methods, challenges, and future research directions on spam detection techniques, filtering, and mitigation of mobile SMS spams. The existing research literature is critically reviewed and analyzed. The most popular techniques for SMS spam detection, filtering, and mitigation are compared, including the used data sets, their findings, and limitations, and the future research directions are discussed. This review is designed to assist expert researchers to identify open areas that need further improvement.

引用

页码：15650 / 15666

页数：17

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