A considerable amount of spam that occur each year can cause the financial damage as well as mental harm to the recipient. This is a serious problem in society. In this paper, we analyze properties of SMS spam in mobile phones to establish a method for effectively blocking SMS spam. As a result, SMS spam can be seen that the surge in the amount shipped during a specific time period. Also, we could find the frequently included word on spam and we could identify spammer that sent smishing messages frequently by comparing several spammers.
CITATION STYLE
Baek, M., Lee, Y., & Won, Y. (2017). Property analysis of sms spam using text mining. In Lecture Notes in Electrical Engineering (Vol. 448, pp. 67–73). Springer Verlag. https://doi.org/10.1007/978-981-10-5041-1_12
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