1. A Review on Mobile SMS Spam Filtering Techniques
- Author
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Adamu Abubakar, Haruna Chiroma, Muhammad Shafie Abd Latiff, Oluwafemi Osho, Tutut Herawan, Shafi’i Muhammad Abdulhamid, and Gaddafi Abdul-Salaam
- Subjects
Service (systems architecture) ,General Computer Science ,Computer science ,Review ,02 engineering and technology ,Computer security ,computer.software_genre ,World Wide Web ,spam ,access layer ,SMS banking ,service provider layer ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,Electrical and Electronic Engineering ,business.industry ,General Engineering ,020206 networking & telecommunications ,Sms spam ,Service provider ,Spamming ,Concatenated SMS ,020201 artificial intelligence & image processing ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,Mobile telephony ,mobile SMS ,business ,lcsh:TK1-9971 ,computer - Abstract
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.
- Published
- 2017
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