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DeWu Technology
DeWu Technology
Apr 21, 2025 · Backend Development

Design and Evolution of a Unified Exchange Mall Middleware Platform

The unified exchange mall middleware platform consolidates disparate points‑redemption and lottery flows into a four‑layer architecture—business, gameplay templates, domain models, and downstream services—offering standardized APIs, dynamic RPC routing, Redis‑based inventory control, anti‑fraud safeguards, and built‑in monitoring, thereby cutting development costs, enhancing maintainability, and ensuring system stability.

InventoryRPCanti-fraud
0 likes · 18 min read
Design and Evolution of a Unified Exchange Mall Middleware Platform
Baidu Tech Salon
Baidu Tech Salon
Mar 6, 2025 · Big Data

Real-Time Anti-Fraud Streaming System Based on Flink: Architecture, Challenges, and Optimizations

The article describes a Flink‑based real‑time anti‑fraud streaming system that combines a risk‑control platform, configurable YAML‑driven pipelines, and optimized state handling—using early event‑time triggers, micro‑batch caching, and coarse‑grained key reduction—to compute multi‑dimensional features, support rapid strategy updates, simulation filtering, and seamless output to ClickHouse, Hive, and Redis for both instant monitoring and offline analysis.

FlinkReal-time Streaminganti-fraud
0 likes · 26 min read
Real-Time Anti-Fraud Streaming System Based on Flink: Architecture, Challenges, and Optimizations
Dual-Track Product Journal
Dual-Track Product Journal
Feb 21, 2025 · Product Management

How to Build a Bulletproof E‑commerce Promotion System Using Simple Math

This article analyzes a disastrous discount‑stacking case, identifies three core vulnerabilities in e‑commerce promotion logic, and presents a three‑part defensive framework plus a financial rescue toolkit to prevent massive losses and curb scalper abuse.

anti-frauddiscount stackinge-commerce
0 likes · 6 min read
How to Build a Bulletproof E‑commerce Promotion System Using Simple Math
Baidu Geek Talk
Baidu Geek Talk
Dec 18, 2024 · Artificial Intelligence

GEE Graph Embedding Algorithm for Business Security Anomaly Detection

The article presents the GEE (Graph Encoder Embedding) algorithm for business security anomaly detection, explains its label‑propagation foundation, evaluates it on ten‑million‑edge real data, identifies inefficiencies in the original implementation, and demonstrates that vectorized NumPy/Pandas optimizations reduce runtime from 55 seconds to about 4 seconds while preserving meaningful TSNE‑visualized embeddings.

Anomaly DetectionGEE algorithmanti-fraud
0 likes · 21 min read
GEE Graph Embedding Algorithm for Business Security Anomaly Detection
Alimama Tech
Alimama Tech
Nov 13, 2024 · Artificial Intelligence

DeepString: Alibaba's Anti‑Fraud Platform Using Large Models for Real‑Time Traffic Detection

Alibaba's anti-fraud platform DeepString uses large unsupervised models to detect abnormal traffic in real time across multiple advertising products, combining a foundation model for event mining, anomaly measurement, and an alignment model for online filtering, reducing reliance on manual labeling and domain expertise.

Large Modelsalgorithm frameworkanti-fraud
0 likes · 19 min read
DeepString: Alibaba's Anti‑Fraud Platform Using Large Models for Real‑Time Traffic Detection
DataFunSummit
DataFunSummit
May 28, 2024 · Information Security

OPPO Application Distribution Anti‑Fraud Practices and Countermeasure Architecture

This article presents a comprehensive overview of OPPO's application distribution platform, detailing the black‑gray‑market threats it faces, the multi‑layered anti‑fraud architecture—including perception, identification, evaluation, and disposal modules—and real‑world case studies that demonstrate the effectiveness of its traffic anti‑cheat tools.

App DistributionOPPOSecurity
0 likes · 17 min read
OPPO Application Distribution Anti‑Fraud Practices and Countermeasure Architecture
DataFunSummit
DataFunSummit
Apr 6, 2024 · Information Security

Comprehensive Guide to Malicious Website Anti‑Fraud: Detection, Operation, and Modeling

This article provides a detailed overview of malicious website anti‑fraud, covering classification, development, operational tactics, revenue models, multi‑dimensional anomaly detection, and advanced counter‑measure models such as fingerprint, text, image, complex network, and multimodal approaches.

Anomaly Detectionanti-fraudgraph neural network
0 likes · 16 min read
Comprehensive Guide to Malicious Website Anti‑Fraud: Detection, Operation, and Modeling
ZhongAn Tech Team
ZhongAn Tech Team
Oct 20, 2023 · Artificial Intelligence

Document Analytics & Anti‑Fraud Support Platform for Hong Kong Virtual Banking

This article describes the design and implementation of a Document Analytics & Anti‑Fraud Support platform for Hong Kong virtual banking, detailing its OCR/NLP‑driven pipeline, dynamic rule engine, multi‑template PDF processing, model training, and the resulting improvements in fraud detection and operational efficiency.

NLPOCRanti-fraud
0 likes · 18 min read
Document Analytics & Anti‑Fraud Support Platform for Hong Kong Virtual Banking
AntTech
AntTech
Oct 8, 2023 · Information Security

International Standards for Intelligent Device Risk Control: IEEE DTX Architecture and ITU Anti‑Fraud Guidelines

The article explains how recent IEEE and ITU international standards introduce a Device Trust Extension (DTX) framework and anti‑fraud detection guidelines for intelligent terminals, highlighting China's leadership, the technical content of the standards, and Ant Group's large‑scale deployment to enhance device security and risk management.

DTXIEEE StandardITU
0 likes · 5 min read
International Standards for Intelligent Device Risk Control: IEEE DTX Architecture and ITU Anti‑Fraud Guidelines
Efficient Ops
Efficient Ops
Sep 24, 2023 · Information Security

How China Postal Savings Bank Built an Enterprise‑Level AI‑Powered Anti‑Fraud Platform

The 2023 China International Service Trade Fair’s Digital Transformation Forum showcased the Postal Savings Bank’s enterprise‑grade intelligent anti‑fraud platform, detailing its stream‑batch integration, graph‑based AI models, and multi‑layer risk‑control architecture that safeguards millions of daily transactions across retail, agricultural, and credit services.

China Postal Savings BankDigital Transformationanti-fraud
0 likes · 8 min read
How China Postal Savings Bank Built an Enterprise‑Level AI‑Powered Anti‑Fraud Platform
DataFunTalk
DataFunTalk
Aug 7, 2023 · Information Security

Design and Exploration of Mobile Game Anti‑Fraud Systems

This article examines the mobile gaming black‑market ecosystem, outlines common fraud patterns, and presents a comprehensive anti‑fraud architecture—including real‑time and offline risk assessment, entity profiling, and mitigation strategies—while sharing practical insights and lessons learned from implementation.

anti-fraudcheating detectiongame security
0 likes · 19 min read
Design and Exploration of Mobile Game Anti‑Fraud Systems
vivo Internet Technology
vivo Internet Technology
Jun 14, 2023 · Information Security

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.

Vivo platformanti-fraudblack market
0 likes · 13 min read
Vivo Game Anti-Cheat Analysis: Identifying and Combating Black Market Fraud
DataFunTalk
DataFunTalk
Mar 25, 2023 · Artificial Intelligence

ZhongAn Financial Real‑Time Feature Platform: MLOps Practices, Architecture and Anti‑Fraud Applications

This article presents ZhongAn Financial’s end‑to‑end MLOps workflow and real‑time feature platform architecture, detailing team roles, data pipelines, Flink‑based processing, TableStore storage, anti‑fraud feature design, and answers to common implementation questions, offering a comprehensive guide for building scalable, low‑latency ML services in finance.

Data EngineeringFlinkReal-time Features
0 likes · 25 min read
ZhongAn Financial Real‑Time Feature Platform: MLOps Practices, Architecture and Anti‑Fraud Applications
vivo Internet Technology
vivo Internet Technology
Feb 15, 2023 · Information Security

Ad Traffic Anti‑Fraud: Algorithms, System Architecture, and Case Studies

The article explains how ad traffic fraud—ranging from simulated impressions to click farms—can be combated using a four‑layer risk‑control system that leverages unsupervised (DBSCAN, Isolation Forest) and supervised (Logistic Regression, Random Forest) algorithms, detailing data pipelines, model training, monitoring, and real‑world case studies.

Anomaly Detectionad fraudadvertising
0 likes · 15 min read
Ad Traffic Anti‑Fraud: Algorithms, System Architecture, and Case Studies
AntTech
AntTech
Jan 9, 2023 · Artificial Intelligence

Overview of the Financial Big Data Anti‑Fraud Technology Whitepaper

This article introduces the Ant Group and Tsinghua University’s Financial Big Data Anti‑Fraud Technology Whitepaper, outlining the new legal context, fraud characteristics, and a three‑stage detection framework that leverages multi‑dimensional graphs, trustworthy AI, and data security to improve pre‑, during‑, and post‑transaction risk management.

AISecurityanti-fraud
0 likes · 9 min read
Overview of the Financial Big Data Anti‑Fraud Technology Whitepaper
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Nov 30, 2022 · Information Security

Best Practices for Community and E‑commerce Fraud Prevention on Xiaohongshu: Understanding and Combating Fake Traffic

The article outlines Xiaohongshu’s comprehensive anti‑fraud strategy—defining fake traffic, exposing three service‑provider models, detailing identification and governance challenges, and recommending engine‑based risk‑control, a five‑step process, and AI‑driven behavior, clustering, and graph analyses that have already eliminated billions of fraudulent likes.

anti-fraude‑commerce securityfraud detection
0 likes · 22 min read
Best Practices for Community and E‑commerce Fraud Prevention on Xiaohongshu: Understanding and Combating Fake Traffic
DataFunSummit
DataFunSummit
Nov 25, 2022 · Information Security

Black and Gray Market Threats and Countermeasures in the Residential Services Industry

This article presents a comprehensive analysis of black‑gray market activities in the residential services sector, detailing industry service models, typical fraud scenarios, intelligence‑gathering architecture, traceability capabilities, and multi‑stage counter‑measure processes aimed at detection, investigation, and prosecution.

anti-fraudblack marketfraud detection
0 likes · 11 min read
Black and Gray Market Threats and Countermeasures in the Residential Services Industry
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Sep 22, 2022 · Big Data

Graph Computing Algorithms for E‑commerce Anti‑Fraud and Reselling Bot Detection

The Xiaohongshu anti‑fraud team combats sophisticated same‑group and crowdsourced reselling bots by ingesting real‑time transaction streams into a Nebula Graph, using multi‑hop sub‑graph sampling, label propagation, and modularity‑based community detection to identify suspicious clusters, update risk pools, and enforce personalized purchase‑limit rules.

anti-fraudbig databot detection
0 likes · 9 min read
Graph Computing Algorithms for E‑commerce Anti‑Fraud and Reselling Bot Detection