Zhiyuan Ding, Victor A. Benjamin, Weifeng Li, Xueyan Yin
{"title":"Exploring Differences Among Darknet and Surface Internet Hacking Communities","authors":"Zhiyuan Ding, Victor A. Benjamin, Weifeng Li, Xueyan Yin","doi":"10.1109/ISI53945.2021.9624681","DOIUrl":null,"url":null,"abstract":"Cyber-threat intelligence (CTI) has matured into its own industry within recent years. CTI efforts frequently involve scrutinizing data within Darknet communities to understand emerging threats. Many hackers within the Darknet share knowledge and other information through a variety of formats, including video. At the same time, many hackers are also making use of the “surface” Internet and traditional video-sharing platforms to disseminate hacking knowledge. Gleaning intelligence from the Darknet can be a very laborious and costly task, raising the question of how meaningful and valuable are the hacker patterns that can be observed on the surface Internet. Extant research contains no studies that compare and contrast hacking videos uploaded to the Darknet versus those uploaded to traditional Internet communities. In this research-in-progress, a testbed of hacking videos is constructed by sourcing videos from a popular video-sharing website, as well as several Darknet forums. The testbed is scrutinized to understand differences in how the populations of users watching such videos respond to them, and whether there are any unique engagement patterns that emerge within the Darknet and surface Internet populations. The results of this work serve to justify further investigations into the hacker knowledge gap between the Darknet and the traditional Internet.","PeriodicalId":347770,"journal":{"name":"2021 IEEE International Conference on Intelligence and Security Informatics (ISI)","volume":"273 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Intelligence and Security Informatics (ISI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISI53945.2021.9624681","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Cyber-threat intelligence (CTI) has matured into its own industry within recent years. CTI efforts frequently involve scrutinizing data within Darknet communities to understand emerging threats. Many hackers within the Darknet share knowledge and other information through a variety of formats, including video. At the same time, many hackers are also making use of the “surface” Internet and traditional video-sharing platforms to disseminate hacking knowledge. Gleaning intelligence from the Darknet can be a very laborious and costly task, raising the question of how meaningful and valuable are the hacker patterns that can be observed on the surface Internet. Extant research contains no studies that compare and contrast hacking videos uploaded to the Darknet versus those uploaded to traditional Internet communities. In this research-in-progress, a testbed of hacking videos is constructed by sourcing videos from a popular video-sharing website, as well as several Darknet forums. The testbed is scrutinized to understand differences in how the populations of users watching such videos respond to them, and whether there are any unique engagement patterns that emerge within the Darknet and surface Internet populations. The results of this work serve to justify further investigations into the hacker knowledge gap between the Darknet and the traditional Internet.