Vivo Game Anti-Cheat Analysis: Identifying and Combating Black Market Fraud
The article examines Vivo’s gaming platform’s fight against black‑market fraud, outlining profit motives, types of illicit activities, brushing techniques, and the company’s three‑stage anti‑fraud framework—pre‑risk perception, in‑process detection, and post‑strike closure—illustrated with two real‑world case studies.
This article analyzes black market fraud in the gaming industry from the perspective of Vivo's game platform. It explores the profit motives and characteristics of Vivo game black market activities, and shares the anti-fraud solutions and case studies from Vivo's Internet Security team.
The article begins by defining black and gray market industries and their four main categories: source-based, platform-based, technical, and implementation-based. It then discusses common black market problems in the gaming industry including network attacks, game cheats, account theft, wool parties, and content violations.
Specifically for Vivo as a mobile phone manufacturer and game distribution platform, the article identifies two main types of black market problems: those related to game developers (such as distribution brushing and self-recharging) and those related to users (such as bulk account registration for game gift packages and coupons).
The article details three main methods of black market brushing: simulated human brushing, interface brushing, and real human brushing, along with their advantages and disadvantages. It then presents Vivo's anti-fraud scheme, which includes pre-risk perception, in-process risk identification, and post-strike closure systems.
Two case studies are provided: one about game gift coupon brushing on the official website membership platform, and another about game gift package brushing. The article concludes by emphasizing that business security is an ongoing battle requiring continuous optimization of anti-fraud strategies.
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