Doctors in training step 2 20169/6/2023 ![]() To achieve online detection of telecommunication frauds, we develop an Android application which can be installed on a customer’s smartphone. ![]() ![]() When an incoming fraud call is answered, the application can dynamically analyze the contents of the call in order to identify frauds. Our results show that we can protect customers effectively. With the development of the Internet, while people are enjoying various kinds of services from the Internet, their private information is gradually leaked out. If a person’s privacy is held by attackers, he could be the target of telecommunication frauds. Latest statistics in 2017 show that 90% of smartphone users in China have experienced telecommunication fraud (Facts 2017). According to CNNIC (China Internet Network Information Center), the number of fraudulent calls reported by domestic users in 2015 reached 306 million times, which is 4.25 times that of 2014 (2015 China Mobile Internet Users’ Network Security Status Report, China Internet Network Information Center (CNNIC) 2016).Īccording to the data released by the Ministry of Public Security, during the decade between 20, telecommunication fraud cases in China have been growing at a rapid rate of 20% to 30% every year, which have been grown rapidly especially in the past 5 years. At the same time, the telecommunications fraud detection became a hot topic. Therefore, the Chinese government has built related departments and financed to help the research on telecommunication fraud detection (Li and Yuan 2017). Since the telecommunication frauds cause severe financial loss to telecommunication customers, it is necessary and urgent to detect telecommunication frauds. In order to detect telecommunication frauds, most of the current approaches are based on labeling the caller numbers that are identified as frauds by customers. At the same time, there are also many researchers who use machine learning techniques to detect fraudulent calls.
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