Circumventing Platform Defenses at Scale: Automated Content Replication from YouTube to Blockchain-Based Decentralized Storage
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arXiv
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866911642424442880 |
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| author | Akram, Muhammad Zeeshan |
| author_facet | Akram, Muhammad Zeeshan |
| contents | We present YouTube-Synch [1], a production system for automated, large-scale content extraction and replication from YouTube to decentralized storage on Joystream. The system continuously mirrors videos from more than 10,000 creator-authorized channels while handling platform constraints such as API quotas, rate limiting, bot detection, and OAuth token churn. We report a 3.5-year longitudinal case study covering 15 releases and 144 pull requests, from early API dependence to API-free operation. A key finding is that YouTube's defense layers are operationally coupled: bypassing one control often triggers another, creating cascading failures. We analyze three incidents with measured impact: 28 duplicate on-chain objects caused by database throughput issues, loss of over 10,000 channels after OAuth mass expiration, and 719 daily errors from queue pollution. For each, we describe the architectural response. Contributions include a three-generation proxy stack with behavior variance injection, a trust-minimized ownership verification protocol that replaces OAuth for channel control, write-ahead logging with cross-system state reconciliation, and containerized deployment. Results show that sustained architectural adaptation can maintain reliable cross-platform replication at production scale. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_18071 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Circumventing Platform Defenses at Scale: Automated Content Replication from YouTube to Blockchain-Based Decentralized Storage Akram, Muhammad Zeeshan Cryptography and Security Software Engineering We present YouTube-Synch [1], a production system for automated, large-scale content extraction and replication from YouTube to decentralized storage on Joystream. The system continuously mirrors videos from more than 10,000 creator-authorized channels while handling platform constraints such as API quotas, rate limiting, bot detection, and OAuth token churn. We report a 3.5-year longitudinal case study covering 15 releases and 144 pull requests, from early API dependence to API-free operation. A key finding is that YouTube's defense layers are operationally coupled: bypassing one control often triggers another, creating cascading failures. We analyze three incidents with measured impact: 28 duplicate on-chain objects caused by database throughput issues, loss of over 10,000 channels after OAuth mass expiration, and 719 daily errors from queue pollution. For each, we describe the architectural response. Contributions include a three-generation proxy stack with behavior variance injection, a trust-minimized ownership verification protocol that replaces OAuth for channel control, write-ahead logging with cross-system state reconciliation, and containerized deployment. Results show that sustained architectural adaptation can maintain reliable cross-platform replication at production scale. |
| title | Circumventing Platform Defenses at Scale: Automated Content Replication from YouTube to Blockchain-Based Decentralized Storage |
| topic | Cryptography and Security Software Engineering |
| url | https://arxiv.org/abs/2603.18071 |