{"title":"VANET蠕虫从交通模型传播","authors":"Lin Cheng, Rahul Shakya","doi":"10.1109/RWS.2010.5434252","DOIUrl":null,"url":null,"abstract":"Vehicle Ad Hoc Networks (VANET) may exhibit different behavior depending on traffic and the time of day. Consider the potential worm attack in time-variant VANET channel, we use measured vehicle traffic data to model VANET worm spreading and patching. We also discuss the contributing factors for the differences observed.","PeriodicalId":334671,"journal":{"name":"2010 IEEE Radio and Wireless Symposium (RWS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"VANET worm spreading from traffic modeling\",\"authors\":\"Lin Cheng, Rahul Shakya\",\"doi\":\"10.1109/RWS.2010.5434252\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vehicle Ad Hoc Networks (VANET) may exhibit different behavior depending on traffic and the time of day. Consider the potential worm attack in time-variant VANET channel, we use measured vehicle traffic data to model VANET worm spreading and patching. We also discuss the contributing factors for the differences observed.\",\"PeriodicalId\":334671,\"journal\":{\"name\":\"2010 IEEE Radio and Wireless Symposium (RWS)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Radio and Wireless Symposium (RWS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RWS.2010.5434252\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Radio and Wireless Symposium (RWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RWS.2010.5434252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vehicle Ad Hoc Networks (VANET) may exhibit different behavior depending on traffic and the time of day. Consider the potential worm attack in time-variant VANET channel, we use measured vehicle traffic data to model VANET worm spreading and patching. We also discuss the contributing factors for the differences observed.