{"title":"Tor网络中单个供应商市场的相似性分析","authors":"Florian Platzer, Fabian Brenner, M. Steinebach","doi":"10.13052/jcsm2245-1439.1124","DOIUrl":null,"url":null,"abstract":"Single-vendor shops are darknet marketplaces where individuals offer their own goods or services on their own darknet website. There are many single-vendor shops with a wide range of offers in the Tor-network. This paper presents a method to find similarities between these vendor websites to discover possible operational structures between them. In order to achieve this, similarity values between the darknet websites are determined by combining different features from the categories content, structure and metadata. Our results show that the features HTML-Tag, HTML-Class, HTML-DOM-Tree as well as File-Content, Open Ports and Links-To proved to be particularly important and very effective in revealing commonalities between darknet websites. Using the similarity detection method, it was found that only 49% of the 258 single-vendor marketplaces were unique, meaning that there were no similar websites. In addition, 20% of all vendor shops are duplicates. 31% of all single-vendor marketplaces can be sorted into seven similarity groups.","PeriodicalId":37820,"journal":{"name":"Journal of Cyber Security and Mobility","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Similarity Analysis of Single-Vendor Marketplaces in the Tor-Network\",\"authors\":\"Florian Platzer, Fabian Brenner, M. Steinebach\",\"doi\":\"10.13052/jcsm2245-1439.1124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Single-vendor shops are darknet marketplaces where individuals offer their own goods or services on their own darknet website. There are many single-vendor shops with a wide range of offers in the Tor-network. This paper presents a method to find similarities between these vendor websites to discover possible operational structures between them. In order to achieve this, similarity values between the darknet websites are determined by combining different features from the categories content, structure and metadata. Our results show that the features HTML-Tag, HTML-Class, HTML-DOM-Tree as well as File-Content, Open Ports and Links-To proved to be particularly important and very effective in revealing commonalities between darknet websites. Using the similarity detection method, it was found that only 49% of the 258 single-vendor marketplaces were unique, meaning that there were no similar websites. In addition, 20% of all vendor shops are duplicates. 31% of all single-vendor marketplaces can be sorted into seven similarity groups.\",\"PeriodicalId\":37820,\"journal\":{\"name\":\"Journal of Cyber Security and Mobility\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cyber Security and Mobility\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.13052/jcsm2245-1439.1124\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cyber Security and Mobility","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13052/jcsm2245-1439.1124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
Similarity Analysis of Single-Vendor Marketplaces in the Tor-Network
Single-vendor shops are darknet marketplaces where individuals offer their own goods or services on their own darknet website. There are many single-vendor shops with a wide range of offers in the Tor-network. This paper presents a method to find similarities between these vendor websites to discover possible operational structures between them. In order to achieve this, similarity values between the darknet websites are determined by combining different features from the categories content, structure and metadata. Our results show that the features HTML-Tag, HTML-Class, HTML-DOM-Tree as well as File-Content, Open Ports and Links-To proved to be particularly important and very effective in revealing commonalities between darknet websites. Using the similarity detection method, it was found that only 49% of the 258 single-vendor marketplaces were unique, meaning that there were no similar websites. In addition, 20% of all vendor shops are duplicates. 31% of all single-vendor marketplaces can be sorted into seven similarity groups.
期刊介绍:
Journal of Cyber Security and Mobility is an international, open-access, peer reviewed journal publishing original research, review/survey, and tutorial papers on all cyber security fields including information, computer & network security, cryptography, digital forensics etc. but also interdisciplinary articles that cover privacy, ethical, legal, economical aspects of cyber security or emerging solutions drawn from other branches of science, for example, nature-inspired. The journal aims at becoming an international source of innovation and an essential reading for IT security professionals around the world by providing an in-depth and holistic view on all security spectrum and solutions ranging from practical to theoretical. Its goal is to bring together researchers and practitioners dealing with the diverse fields of cybersecurity and to cover topics that are equally valuable for professionals as well as for those new in the field from all sectors industry, commerce and academia. This journal covers diverse security issues in cyber space and solutions thereof. As cyber space has moved towards the wireless/mobile world, issues in wireless/mobile communications and those involving mobility aspects will also be published.