K. Anagnostakis, M. Greenwald, S. Ioannidis, A. Keromytis, Dekai Li
{"title":"一个合作免疫系统为不信任的互联网","authors":"K. Anagnostakis, M. Greenwald, S. Ioannidis, A. Keromytis, Dekai Li","doi":"10.1109/ICON.2003.1266224","DOIUrl":null,"url":null,"abstract":"Viruses and worms are one of the most common causes of security problems in computer systems today. Users attempt to protect machines from such attacks by using anti-virus programs and firewalls, with a mixed record of success at best. One of the main problems with these solutions is that they rely on manual configurations and human intervention, and may fail to react in time to defend against an attack. We present a cooperative immunization system that helps defend against these types of attacks. The nodes in our system cooperate and inform each other of ongoing attacks and the actions necessary to defend. To evaluate our proposal, we discuss a simple virus model and evaluate our system using simulation. Our measurements show that our algorithm is more effective against viruses and more robust against malicious participants in the immunization system.","PeriodicalId":122389,"journal":{"name":"The 11th IEEE International Conference on Networks, 2003. ICON2003.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"75","resultStr":"{\"title\":\"A cooperative immunization system for an untrusting Internet\",\"authors\":\"K. Anagnostakis, M. Greenwald, S. Ioannidis, A. Keromytis, Dekai Li\",\"doi\":\"10.1109/ICON.2003.1266224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Viruses and worms are one of the most common causes of security problems in computer systems today. Users attempt to protect machines from such attacks by using anti-virus programs and firewalls, with a mixed record of success at best. One of the main problems with these solutions is that they rely on manual configurations and human intervention, and may fail to react in time to defend against an attack. We present a cooperative immunization system that helps defend against these types of attacks. The nodes in our system cooperate and inform each other of ongoing attacks and the actions necessary to defend. To evaluate our proposal, we discuss a simple virus model and evaluate our system using simulation. Our measurements show that our algorithm is more effective against viruses and more robust against malicious participants in the immunization system.\",\"PeriodicalId\":122389,\"journal\":{\"name\":\"The 11th IEEE International Conference on Networks, 2003. ICON2003.\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"75\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 11th IEEE International Conference on Networks, 2003. ICON2003.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICON.2003.1266224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 11th IEEE International Conference on Networks, 2003. ICON2003.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICON.2003.1266224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A cooperative immunization system for an untrusting Internet
Viruses and worms are one of the most common causes of security problems in computer systems today. Users attempt to protect machines from such attacks by using anti-virus programs and firewalls, with a mixed record of success at best. One of the main problems with these solutions is that they rely on manual configurations and human intervention, and may fail to react in time to defend against an attack. We present a cooperative immunization system that helps defend against these types of attacks. The nodes in our system cooperate and inform each other of ongoing attacks and the actions necessary to defend. To evaluate our proposal, we discuss a simple virus model and evaluate our system using simulation. Our measurements show that our algorithm is more effective against viruses and more robust against malicious participants in the immunization system.