{"title":"模拟拳击问题:ALMADAR ALJADID案例研究","authors":"Abdullah Masrub, Mohamed Alahemar","doi":"10.1109/ICEE49691.2020.9249872","DOIUrl":null,"url":null,"abstract":"Telecommunication fraud is considered as a significant problem that costs mobile network service providers billions of dollars annually. Although adventing new technologies expected to reduce fraud, it has provided fraudsters new techniques to commit fraud. SIM Box fraud is considered one of developed fraud that has emerged with the use of VoIP technologies. Fraudsters have used this technology to bypass their calls the international/national gateway switch and standard termination fees. Efficient fraud detection systems as well as data analysis systems can be used to enable telecom operators to stop fraud and save a lot of money. In this work, SIM Boxing problem is studied and identifying SIM Box fraud subscriber scenario is proposed. More precisely, after examining the attributes of the Call Detail Records (CDRs) of mobile subscribers, an algorithm to identify the data set of normal and fraudulent behavior has been implemented in this work. We applied this study on ALMADAR Company’s CDRs and we found that only 2% to 9% of behaviors (depending on data length) might show important tendency for fraudulent use and need to be monitored and examined accurately.","PeriodicalId":250276,"journal":{"name":"2020 International Conference on Electrical Engineering (ICEE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SIM Boxing Problem: ALMADAR ALJADID Case Study\",\"authors\":\"Abdullah Masrub, Mohamed Alahemar\",\"doi\":\"10.1109/ICEE49691.2020.9249872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Telecommunication fraud is considered as a significant problem that costs mobile network service providers billions of dollars annually. Although adventing new technologies expected to reduce fraud, it has provided fraudsters new techniques to commit fraud. SIM Box fraud is considered one of developed fraud that has emerged with the use of VoIP technologies. Fraudsters have used this technology to bypass their calls the international/national gateway switch and standard termination fees. Efficient fraud detection systems as well as data analysis systems can be used to enable telecom operators to stop fraud and save a lot of money. In this work, SIM Boxing problem is studied and identifying SIM Box fraud subscriber scenario is proposed. More precisely, after examining the attributes of the Call Detail Records (CDRs) of mobile subscribers, an algorithm to identify the data set of normal and fraudulent behavior has been implemented in this work. We applied this study on ALMADAR Company’s CDRs and we found that only 2% to 9% of behaviors (depending on data length) might show important tendency for fraudulent use and need to be monitored and examined accurately.\",\"PeriodicalId\":250276,\"journal\":{\"name\":\"2020 International Conference on Electrical Engineering (ICEE)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Electrical Engineering (ICEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEE49691.2020.9249872\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Electrical Engineering (ICEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEE49691.2020.9249872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Telecommunication fraud is considered as a significant problem that costs mobile network service providers billions of dollars annually. Although adventing new technologies expected to reduce fraud, it has provided fraudsters new techniques to commit fraud. SIM Box fraud is considered one of developed fraud that has emerged with the use of VoIP technologies. Fraudsters have used this technology to bypass their calls the international/national gateway switch and standard termination fees. Efficient fraud detection systems as well as data analysis systems can be used to enable telecom operators to stop fraud and save a lot of money. In this work, SIM Boxing problem is studied and identifying SIM Box fraud subscriber scenario is proposed. More precisely, after examining the attributes of the Call Detail Records (CDRs) of mobile subscribers, an algorithm to identify the data set of normal and fraudulent behavior has been implemented in this work. We applied this study on ALMADAR Company’s CDRs and we found that only 2% to 9% of behaviors (depending on data length) might show important tendency for fraudulent use and need to be monitored and examined accurately.