BestHub
Sign in
Tag

risk detection

0 views collected around this technical thread.

AntTech
AntTech
May 6, 2025 · Information Security

Security Risk Detection for HarmonyOS ArkTS Code: Architecture, Analysis Framework, and Future Directions

This article presents a comprehensive overview of the security challenges in HarmonyOS native ArkTS applications and describes the design and implementation of a specialized static analysis framework—including source extraction, data‑flow and inter‑function analysis, knowledge‑graph construction, and risk inference engine—while also outlining integration into development pipelines and future research directions.

ArkTSStatic Analysiscode analysis
0 likes · 17 min read
Security Risk Detection for HarmonyOS ArkTS Code: Architecture, Analysis Framework, and Future Directions
AntTech
AntTech
Apr 2, 2024 · Information Security

Web3 Anti-Money Laundering Platform: Real-Time Risk Identification and Prevention

This article outlines Ant Group's Web3 multi‑dimensional intelligent anti‑money‑laundering platform, detailing common cryptocurrency risk types, regulatory compliance challenges, and the platform's real‑time monitoring, contract scanning, and graph‑based risk tagging capabilities for proactive detection and rapid response.

Real-time MonitoringWeb3anti-money laundering
0 likes · 9 min read
Web3 Anti-Money Laundering Platform: Real-Time Risk Identification and Prevention
High Availability Architecture
High Availability Architecture
Dec 20, 2023 · Information Security

API Anti‑Crawling and Security Architecture: Risk Detection, Strategy, and Effectiveness at Bilibili

This article details Bilibili's comprehensive anti‑crawling system, covering the background of API abuse, the data‑flow framework, risk perception, strategy iteration, verification mechanisms, gateway signing design, and the measurable impact on normal and special‑case interfaces.

API securityBilibiliRisk Mitigation
0 likes · 19 min read
API Anti‑Crawling and Security Architecture: Risk Detection, Strategy, and Effectiveness at Bilibili
AntTech
AntTech
Nov 10, 2023 · Artificial Intelligence

Ant Group and Tsinghua University’s Distributed Collaborative Risk‑Defense System Wins Zhejiang Provincial Science & Technology Progress Award

The award‑winning distributed collaborative risk‑defense system, developed by Ant Group, Tsinghua University and Alipay, leverages AI, privacy‑preserving computing and graph analytics to achieve real‑time, high‑efficiency detection and invisible, precise control of hidden risks in massive digital transactions, earning top provincial honors and extensive industry adoption.

AI securityAwardBig Data
0 likes · 5 min read
Ant Group and Tsinghua University’s Distributed Collaborative Risk‑Defense System Wins Zhejiang Provincial Science & Technology Progress Award
Architect
Architect
Sep 22, 2023 · Information Security

Analysis of Vivo Game Platform Black Market Profit Points, Cheating Characteristics, and Anti‑Cheat Solutions

This article examines the profit motives and characteristics of black‑market activities targeting the Vivo game platform, outlines common cheating methods such as volume‑boosting, network attacks, and account theft, and presents Vivo's multi‑layered anti‑cheat framework with real‑world case studies.

Vivoanti-cheatblack market
0 likes · 14 min read
Analysis of Vivo Game Platform Black Market Profit Points, Cheating Characteristics, and Anti‑Cheat Solutions
AntTech
AntTech
Sep 12, 2023 · Artificial Intelligence

Ensuring Trustworthy and Secure AI: Insights from the 2023 Pujiang Innovation Forum

The 2023 Pujiang Innovation Forum highlighted the rapid rise of generative AI, its associated security and privacy risks, and presented Ant Group's multi‑stage, multi‑layered approach—including data, training, and inference controls and three core defense technologies—to achieve safe, reliable, and open knowledge sharing in the era of large language models.

AI safetyKnowledge SharingLarge Language Models
0 likes · 10 min read
Ensuring Trustworthy and Secure AI: Insights from the 2023 Pujiang Innovation Forum
DataFunTalk
DataFunTalk
May 27, 2023 · Artificial Intelligence

Graph Algorithms in Alibaba E‑commerce Risk Control: Practices and Insights

The article presents a comprehensive overview of how graph algorithms are applied in Alibaba's e‑commerce risk control system, detailing six sections that include risk scenario introductions, interaction and product content risk methods, dynamic heterogeneous graph practices, a large‑scale competition, and future research directions.

Dynamic GraphGraph Neural Networkse-commerce risk
0 likes · 18 min read
Graph Algorithms in Alibaba E‑commerce Risk Control: Practices and Insights
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 18, 2023 · Artificial Intelligence

Ant Security's Tianjian Content Risk Control System Receives Five‑Star Rating in 2022 Content Review Service Evaluation

On January 17, the China Academy of Information and Communications Technology announced that Ant Security's self‑developed Tianjian multimodal content risk control system achieved the highest five‑star rating in both text and image assessments of the 2022 content review service evaluation, highlighting its advanced AI‑driven moderation capabilities.

ant securitycontent moderationimage analysis
0 likes · 4 min read
Ant Security's Tianjian Content Risk Control System Receives Five‑Star Rating in 2022 Content Review Service Evaluation
DataFunTalk
DataFunTalk
Jul 12, 2022 · Artificial Intelligence

Applying Computer Vision for Content Safety in Live Streaming: Practices and Future Directions

This presentation details how Huya leverages computer‑vision algorithms to detect and mitigate risky content such as political, pornographic, and violent material in live‑streaming and short‑video platforms, describing system architecture, labeling strategies, algorithmic pipelines, real‑time moderation techniques, and future research directions.

AI safetyImage RecognitionLive Streaming
0 likes · 11 min read
Applying Computer Vision for Content Safety in Live Streaming: Practices and Future Directions
JD Tech Talk
JD Tech Talk
Jun 5, 2020 · Information Security

From System Engineering to Anti‑Black‑Market: Lin Yuansheng’s Journey in JD’s Intelligent Risk Detection

Lin Yuansheng, JD’s first post‑doctoral researcher, leverages his system‑engineering background and big‑data analytics to build models that identify black‑market accounts, improve network risk perception, and demonstrate how academic research can be rapidly applied to real‑world e‑commerce security challenges.

Big DataData Modelinge-commerce
0 likes · 8 min read
From System Engineering to Anti‑Black‑Market: Lin Yuansheng’s Journey in JD’s Intelligent Risk Detection
58 Tech
58 Tech
Mar 26, 2020 · Big Data

LPA-Detector: Distributed Label Propagation with Confidence Weights for Large‑Scale Graph Risk Detection

The article introduces LPA-Detector, an open‑source project that redesigns the Label Propagation Algorithm using Spark GraphX to add node confidence weights and relationship influence, achieving significant improvements in execution efficiency and detection accuracy for massive graph data in risk‑control scenarios.

Big DataSparkdistributed computing
0 likes · 8 min read
LPA-Detector: Distributed Label Propagation with Confidence Weights for Large‑Scale Graph Risk Detection
DataFunTalk
DataFunTalk
Oct 17, 2018 · Artificial Intelligence

Design Principles for AI‑Driven Anti‑Fraud Systems

The article outlines Tongdun Technology's anti‑fraud challenges, presents their AI‑based detection solutions, and details design principles—including early warning, multi‑feature analysis, and human‑machine collaboration—to build a robust, multi‑layered fraud prevention framework.

AI designFeature Engineeringanti-fraud
0 likes · 10 min read
Design Principles for AI‑Driven Anti‑Fraud Systems
AntTech
AntTech
Sep 13, 2018 · Databases

GeaBase: China’s First Financial‑Grade Distributed Graph Database – Architecture, Performance, and Real‑World Applications

GeaBase, the pioneering financial‑grade distributed graph database from Ant Financial, combines a scalable graph engine, a custom query language, and millisecond‑level query performance to power anti‑fraud, recommendation, and risk‑analysis workloads across Alibaba’s ecosystem, while showcasing impressive benchmarks against relational databases and open‑source graph solutions.

Big DataGeaBaseant financial
0 likes · 22 min read
GeaBase: China’s First Financial‑Grade Distributed Graph Database – Architecture, Performance, and Real‑World Applications
Baidu Intelligent Testing
Baidu Intelligent Testing
Sep 14, 2017 · Information Security

Automating Security Detection with Image Recognition: Workflow and Techniques

This article explains why security detection needs automation, compares static and dynamic analysis, and details an image‑recognition‑based pipeline—including grayscale conversion, edge detection, contour extraction, and OCR—to automatically identify risky app pop‑up warnings.

Dynamic AnalysisImage RecognitionOCR
0 likes · 8 min read
Automating Security Detection with Image Recognition: Workflow and Techniques