Linux Kernel Development

Every ebook store eventually faces the same problem: content leaks. A paying customer uploads a book to a piracy site. A stolen account gets scraped. A shared login quietly becomes a distribution channel. Most stores react late, and when they do, they cannot tell who leaked what. Anti-piracy & Fraud is a production handbook for engineers who need to close that gap. It covers the full stack: forensic watermarking that survives copying, per-user payload distribution at scale, decoder design with sync patterns and CRC validation, and the delivery log schema that turns a leaked file into a named user in under thirty seconds. Beyond watermarking, the book covers account-sharing detection with scoring models that avoid punishing legitimate families, device fingerprinting under GDPR, robust anomaly detection using median and MAD rather than fragile means, payment fraud and chargeback evidence, distributed rate limiting, and DMCA takedown automation. Every chapter ends with a production checklist. Every technique comes with code, schemas, and the failure modes you will hit in the real world. Written for engineers who already ship software and need the tradeoffs, not a tutorial. Because you cannot stop piracy. You can only make it expensive, traceable, and slow.