{"title":"论网络钓鱼的语义","authors":"H. Orman","doi":"10.1109/SPW.2012.12","DOIUrl":null,"url":null,"abstract":"Phishing constitutes more than half of all reported security incident son the Internet. The attacks cause users to erroneously trust websites and enter sensitive data because the email notifications and the website look familiar. Our hypothesis is that familiarity can be defined formally using history data from the user's computer, and effective presentation of the data can help users distinguishphishing messages from trustworthy messages.","PeriodicalId":201519,"journal":{"name":"2012 IEEE Symposium on Security and Privacy Workshops","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Towards a Semantics of Phish\",\"authors\":\"H. Orman\",\"doi\":\"10.1109/SPW.2012.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Phishing constitutes more than half of all reported security incident son the Internet. The attacks cause users to erroneously trust websites and enter sensitive data because the email notifications and the website look familiar. Our hypothesis is that familiarity can be defined formally using history data from the user's computer, and effective presentation of the data can help users distinguishphishing messages from trustworthy messages.\",\"PeriodicalId\":201519,\"journal\":{\"name\":\"2012 IEEE Symposium on Security and Privacy Workshops\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Symposium on Security and Privacy Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPW.2012.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Symposium on Security and Privacy Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPW.2012.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Phishing constitutes more than half of all reported security incident son the Internet. The attacks cause users to erroneously trust websites and enter sensitive data because the email notifications and the website look familiar. Our hypothesis is that familiarity can be defined formally using history data from the user's computer, and effective presentation of the data can help users distinguishphishing messages from trustworthy messages.
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