Minghao Liu, Yuchen Sun, Chong Liu, Shuodi Zu, Fan Zhang
{"title":"基于域名筛选和IPv4-IPv6连接的IPv6地标挖掘","authors":"Minghao Liu, Yuchen Sun, Chong Liu, Shuodi Zu, Fan Zhang","doi":"10.1145/3501409.3501472","DOIUrl":null,"url":null,"abstract":"Existing IP landmark mining technologies mainly focus on IPv4, and less attention is paid to the association between IPv4 and IPv6. The current IPv6 network has fewer reliable landmarks with limited accuracy, while the IPv4 network already has a large number of reliable landmarks. If IPv4 landmarks can be used in IPv6 landmark mining, the accuracy and efficiency of IPv6 landmark acquisition will be improved. To this end, this paper proposes an IPv6 landmark mining method based on domain name screening and IPv4-IPv6 connection. This method first uses the domain names of government agencies, top universities, and top websites as seed domain names, and continuously obtains a large number of domain names through web crawlers; then performs DNS resolution on the obtained domain names to obtain their corresponding IPv4 address and IPv6 address; and finally evaluate and analyze whether the two addresses are located in the same location, and determine whether to use it as an IPv6 landmark. This method successfully associates the IPv4 geolocation with the IPv6 geolocation, and uses the IPv4 landmarks to obtain and evaluate the IPv6 landmarks. Experimental results show that this method can obtain city-level IPv6 network landmarks more efficiently, and it also has a certain ability in street-level landmark mining.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"IPv6 Landmark Mining Based on Domain Name Screening and IPv4-IPv6 Connection\",\"authors\":\"Minghao Liu, Yuchen Sun, Chong Liu, Shuodi Zu, Fan Zhang\",\"doi\":\"10.1145/3501409.3501472\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Existing IP landmark mining technologies mainly focus on IPv4, and less attention is paid to the association between IPv4 and IPv6. The current IPv6 network has fewer reliable landmarks with limited accuracy, while the IPv4 network already has a large number of reliable landmarks. If IPv4 landmarks can be used in IPv6 landmark mining, the accuracy and efficiency of IPv6 landmark acquisition will be improved. To this end, this paper proposes an IPv6 landmark mining method based on domain name screening and IPv4-IPv6 connection. This method first uses the domain names of government agencies, top universities, and top websites as seed domain names, and continuously obtains a large number of domain names through web crawlers; then performs DNS resolution on the obtained domain names to obtain their corresponding IPv4 address and IPv6 address; and finally evaluate and analyze whether the two addresses are located in the same location, and determine whether to use it as an IPv6 landmark. This method successfully associates the IPv4 geolocation with the IPv6 geolocation, and uses the IPv4 landmarks to obtain and evaluate the IPv6 landmarks. Experimental results show that this method can obtain city-level IPv6 network landmarks more efficiently, and it also has a certain ability in street-level landmark mining.\",\"PeriodicalId\":191106,\"journal\":{\"name\":\"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3501409.3501472\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3501409.3501472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
IPv6 Landmark Mining Based on Domain Name Screening and IPv4-IPv6 Connection
Existing IP landmark mining technologies mainly focus on IPv4, and less attention is paid to the association between IPv4 and IPv6. The current IPv6 network has fewer reliable landmarks with limited accuracy, while the IPv4 network already has a large number of reliable landmarks. If IPv4 landmarks can be used in IPv6 landmark mining, the accuracy and efficiency of IPv6 landmark acquisition will be improved. To this end, this paper proposes an IPv6 landmark mining method based on domain name screening and IPv4-IPv6 connection. This method first uses the domain names of government agencies, top universities, and top websites as seed domain names, and continuously obtains a large number of domain names through web crawlers; then performs DNS resolution on the obtained domain names to obtain their corresponding IPv4 address and IPv6 address; and finally evaluate and analyze whether the two addresses are located in the same location, and determine whether to use it as an IPv6 landmark. This method successfully associates the IPv4 geolocation with the IPv6 geolocation, and uses the IPv4 landmarks to obtain and evaluate the IPv6 landmarks. Experimental results show that this method can obtain city-level IPv6 network landmarks more efficiently, and it also has a certain ability in street-level landmark mining.