{"title":"网络拓扑混淆:挑战、解决方案和比较","authors":"Changhao Qiu, Bangbang Ren, Lailong Luo, Deke Guo","doi":"10.1145/3857909","DOIUrl":null,"url":null,"abstract":"Attackers infer the network topology to locate critical components and to plan cost-effective attacks with high success rates. Network topology obfuscation (NTO) counters this by exposing a well-designed fake topology that misleads the inference and raises the cost of attack. Existing surveys cover topology inference but give limited attention to proactive defense. We disassemble the NTO mechanisms into three workflow phases, identification, generation and deployment, and into four fundamental techniques, rerouting, virtual network, response fabricating and packet intervention, whose combination forms each of them. We then systematically analyze multiple NTO mechanisms by technique and design objective, and outline future research directions.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"195 1","pages":""},"PeriodicalIF":30.4000,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Network Topology Obfuscation: Challenges, Solutions, and Comparisons\",\"authors\":\"Changhao Qiu, Bangbang Ren, Lailong Luo, Deke Guo\",\"doi\":\"10.1145/3857909\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Attackers infer the network topology to locate critical components and to plan cost-effective attacks with high success rates. Network topology obfuscation (NTO) counters this by exposing a well-designed fake topology that misleads the inference and raises the cost of attack. Existing surveys cover topology inference but give limited attention to proactive defense. We disassemble the NTO mechanisms into three workflow phases, identification, generation and deployment, and into four fundamental techniques, rerouting, virtual network, response fabricating and packet intervention, whose combination forms each of them. We then systematically analyze multiple NTO mechanisms by technique and design objective, and outline future research directions.\",\"PeriodicalId\":50926,\"journal\":{\"name\":\"ACM Computing Surveys\",\"volume\":\"195 1\",\"pages\":\"\"},\"PeriodicalIF\":30.4000,\"publicationDate\":\"2026-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Computing Surveys\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/3857909\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Computing Surveys","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3857909","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
Network Topology Obfuscation: Challenges, Solutions, and Comparisons
Attackers infer the network topology to locate critical components and to plan cost-effective attacks with high success rates. Network topology obfuscation (NTO) counters this by exposing a well-designed fake topology that misleads the inference and raises the cost of attack. Existing surveys cover topology inference but give limited attention to proactive defense. We disassemble the NTO mechanisms into three workflow phases, identification, generation and deployment, and into four fundamental techniques, rerouting, virtual network, response fabricating and packet intervention, whose combination forms each of them. We then systematically analyze multiple NTO mechanisms by technique and design objective, and outline future research directions.
期刊介绍:
ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods.
ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.