High score duplication is a significant challenge in online gaming and competitive platforms, undermining fair play and system integrity. The most common prevention methods focus on robust technical safeguards and continuous monitoring. Server-side validation is fundamental, where all score submissions are verified against game logic rules before acceptance. This prevents manipulated client data from corrupting leaderboards. Cryptographic techniques, such as digital signatures and hash functions, ensure data integrity during transmission, making tampering detectable. Unique user identification through device fingerprinting or hardware-based IDs helps track and flag suspicious patterns from single sources. Rate limiting and submission throttling prevent automated scripts from flooding systems with fake scores. Behavioral analysis algorithms can identify improbable score patterns, like sudden massive improvements, triggering manual reviews. Real-time monitoring systems with automated alerts enable quick response to emerging duplication attempts. Regular security audits and penetration testing help identify vulnerabilities before exploit. Some platforms implement replay verification, requiring gameplay recordings for top scores. A multi-layered approach combining these methods creates strong defense mechanisms. Ultimately, maintaining leaderboard credibility requires both technological solutions and clear community guidelines with consequences for violations. As cheating methods evolve, prevention systems must continuously adapt through machine learning and community reporting features to preserve competitive integrity.