Yannis Soupionis, R. Koutsiamanis, P. Efraimidis, D. Gritzalis
{"title":"基于音频验证码的网络电话防垃圾邮件的博弈论分析","authors":"Yannis Soupionis, R. Koutsiamanis, P. Efraimidis, D. Gritzalis","doi":"10.3233/JCS-140496","DOIUrl":null,"url":null,"abstract":"Spam over Internet Telephony SPIT is a potential source of disruption in Voice over IP VoIP systems. The use of anti-SPIT mechanisms, such as filters and audio CAPTCHA Completely Automated Public Turing Test to Tell Computer and Humans Apart can prevent unsolicited calls and lead to less unwanted traffic. In this paper, we present a game-theoretic model, in which the game is played between SPIT senders and internet telephony users. The game includes call filters and audio CAPTCHA, so as to classify incoming calls as legitimate or malicious. We show how the resulting model can be used to decide upon the trade-offs present in this problem and help us predict the SPIT sender's behavior. We also highlight the advantages in terms of SPIT call reduction of merely introducing CAPTCHA, and provide experimental verification of our results.","PeriodicalId":142580,"journal":{"name":"J. Comput. Secur.","volume":"420 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"A game-theoretic analysis of preventing spam over Internet Telephony via audio CAPTCHA-based authentication\",\"authors\":\"Yannis Soupionis, R. Koutsiamanis, P. Efraimidis, D. Gritzalis\",\"doi\":\"10.3233/JCS-140496\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spam over Internet Telephony SPIT is a potential source of disruption in Voice over IP VoIP systems. The use of anti-SPIT mechanisms, such as filters and audio CAPTCHA Completely Automated Public Turing Test to Tell Computer and Humans Apart can prevent unsolicited calls and lead to less unwanted traffic. In this paper, we present a game-theoretic model, in which the game is played between SPIT senders and internet telephony users. The game includes call filters and audio CAPTCHA, so as to classify incoming calls as legitimate or malicious. We show how the resulting model can be used to decide upon the trade-offs present in this problem and help us predict the SPIT sender's behavior. We also highlight the advantages in terms of SPIT call reduction of merely introducing CAPTCHA, and provide experimental verification of our results.\",\"PeriodicalId\":142580,\"journal\":{\"name\":\"J. Comput. Secur.\",\"volume\":\"420 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Comput. Secur.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/JCS-140496\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Comput. Secur.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/JCS-140496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A game-theoretic analysis of preventing spam over Internet Telephony via audio CAPTCHA-based authentication
Spam over Internet Telephony SPIT is a potential source of disruption in Voice over IP VoIP systems. The use of anti-SPIT mechanisms, such as filters and audio CAPTCHA Completely Automated Public Turing Test to Tell Computer and Humans Apart can prevent unsolicited calls and lead to less unwanted traffic. In this paper, we present a game-theoretic model, in which the game is played between SPIT senders and internet telephony users. The game includes call filters and audio CAPTCHA, so as to classify incoming calls as legitimate or malicious. We show how the resulting model can be used to decide upon the trade-offs present in this problem and help us predict the SPIT sender's behavior. We also highlight the advantages in terms of SPIT call reduction of merely introducing CAPTCHA, and provide experimental verification of our results.