Guardians of the Galaxy: Content Moderation in the InterPlanetary File System
Sokoto, S., Balduf, L., Trautwein, D. , Wei, Y., Tyson, G., Castro, I., Ascigil, O., Pavlou, G., Korczynski, M., Scheuermann, B. & Krol, M. ORCID: 0000-0002-3437-8621 (2024). Guardians of the Galaxy: Content Moderation in the InterPlanetary File System. In: Proceedings of the 33rd USENIX Security Symposium. USENIX Security Symposium, 14-16 Aug 2024, Philadelphia, USA.
Abstract
The InterPlanetary File System (IPFS) is one of the largest platforms in the growing “Decentralized Web”. The increasing popularity of IPFS has attracted large volumes of users and content. Unfortunately, some of this content could be considered “problematic”. Content moderation is always hard. With a completely decentralized infrastructure and administration, content moderation in IPFS is even more difficult. In this paper, we examine this challenge. We identify, characterize, and measure the presence of problematic content in IPFS (e.g. subject to takedown notices). Our analysis covers 368,762 files. We analyze the complete content moderation process including how these files are flagged, who hosts and retrieves them. We also measure the efficacy of the process. We analyze content submitted to denylist, showing that notable volumes of problematic content are served, and the lack of a centralized approach facilitates its spread. While we identify fast reactions to takedown requests, we also test the resilience of multiple gateways and show that existing means to filter problematic content can be circumvented. We end by proposing improvements to content moderation that result in 227% increase in the detection of phishing content and reduce the average time to filter such content by 43%.
Publication Type: | Conference or Workshop Item (Paper) |
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Subjects: | H Social Sciences > HD Industries. Land use. Labor Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Departments: | School of Science & Technology School of Science & Technology > Computer Science School of Science & Technology > Computer Science > Software Reliability |
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