其他摘要：Mobile terminal is currently a fast developing area, among which Android holds quite a big market share. But Android faces huge security threats due to its platform openness, especially threats from spam SMS. This dissertation researches on spam SMS problems and proposes a method by combining blacklist and Bayesian Algorithm on the detection of spam SMS. By testing the implemented system, the purpose of filtering and effectively resisting harassment from spam SMS has been achieved.
