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Text-based classification algorithm spam SMS filtering technology research

Author: GuanNa
Tutor: FuYan
School: University of Electronic Science and Technology
Course: Computer Software and Theory
Keywords: SMS Spam Text Classification Feature Extraction SMS filtering
CLC: TN929.5
Type: Master's thesis
Year: 2008
Downloads: 325
Quote: 4
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Abstract


SMS has good mobility due to low prices, convenience and entertainment transceiver characteristics of strong leaving people gradually get used text messages to send information and communication. But the problem of spam messages has become increasingly serious. Therefore, the study messaging intelligent regulation technology has important significance. Filtering technology is currently the primary means of dealing with spam messages, but the use of existing filtering methods, the need for SMS message center article by article analysis in order to determine whether the spam messages, so the processing efficiency is relatively low. Meanwhile both keyword-based spam messages or content-based filtering methods, there are a large number of operations, this will cause short message service center network congestion, increase the cost of the network, the ultimate result is the use of SMS spam filtering to give up part or delayed SMS forwarding, which will reduce spam filtering accuracy and efficiency. Therefore, this article for an existing filtration technology, this paper proposes a multi-layered spam SMS filtering based method, which introduces the concept of user confidence, according to the user's trust users to send text messages on sampling filter, which greatly improve the processing efficiency. Meanwhile, the method integrates a number of spam messages filtering techniques (black and white lists, keyword and content filtering technologies), the method than the single filter method accuracy and efficiency is greatly improved. The main work includes: 1. Proposed based on behavioral characteristics of SMS spam messages discrimination techniques, since different users have different SMS sending behavior, through SMS can not only monitor the behavior of real-time monitoring of spam messages, spam messages can also Send to predict. (2) Since the vast majority of mobile phone users is not the manufacturer of spam messages, we introduce the concept of user confidence, sending behavior according to the user to determine the user's trust level. 3 presented to the user based on user trust messages sent sample detection method that filters spam messages in both the case of correctness, but also greatly improves the filtration system for spam messages through the SMS center monitoring efficiency. 4 According to the proposed sampling monitoring methods, the integration of existing spam filtering technologies, to build a multi-layered spam filtering system. Experiments show that the proposed new method of filtering spam messages with high efficiency.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Mobile Communications
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