Feature extraction techniques for SMS spam detection: A review
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Date
2020-04
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Publisher
International Journal of Advanced Science and Research
Abstract
The general acceptance of using mobile phones has resulted in a noticeable increase in sending of Short Message Service
(SMS) messages. Messages through SMS have been considered as a rapid method of communication due to its stress-free
usage and low cost, as a result, SMS has been targeted for several forms of threats, one of these is spamming. The spam SMS
is unwanted or undesirable messages received by many mobile phone users, and cause many problems such as anger,
displeasure, consumption of network bandwidth, scam and theft of personal information and malware installation. Feature
extraction is a significant phase of SMS Spam detection, the extraction of features in SMS involves a procedure of reducing
initial original features into to more manageable forms for the classification process. This paper conducted a literature review
on some of the commonly used feature extraction techniques for SMS Spam detection system. A contribution was made on
how these techniques can be further improved to develop robust systems of SMS Spam detection.
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Citation
Taofeek-Ibrahim F. A., Aro T. O., Akande H. B., Jibrin B. M., Toye N. T.