Property analysis of sms spam using text mining

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Abstract

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.

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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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