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-fraud

Coinbase upgrades its anti-fraud system, integrating machine learning with a rules engine, reducing response time to a few hours

Coinbase stated that it is optimizing the rule creation process in its anti-fraud system by integrating machine learning models with a rules engine, achieving more efficient risk management. It also proposed a dual-track strategy of "models responsible for long-term defense, rules responsible for rapid response," and built a unified framework to create a feedback loop between the two: rules are used to capture new types of fraud and train the model in reverse, thereby continuously enhancing overall defense capabilities.In terms of specific optimizations, Coinbase has transformed the previously manual rule creation process into a data-driven and automated recommendation system by restructuring data, automating schema evolution, and introducing notebook-based analytical tools, significantly improving efficiency. Among these improvements, the performance of rule backtesting has increased by more than 10 times, and the overall response time has been reduced from several days to a few hours. Additionally, the new system uses machine learning to recommend parameters, helping to reduce false positive rates while combating fraud and minimizing the impact on normal users. Coinbase indicated that the next step will be to advance event-driven automatic rule generation and explore the "one-click conversion" of efficient rules into model features, further moving towards an automated risk management system.

Bitget's second "Anti-Fraud Month" concludes, and the anti-fraud center is upgraded to a regular protection system

ChainCatcher news, Bitget's second global "Anti-Fraud Month" has officially concluded. This event focused on AI-driven cryptocurrency fraud risks, effectively enhancing users' security awareness and prevention capabilities through interactive games, security education, expert dialogues, and industry reports.One of the core projects, "Smarter Eyes Challenge," simulated common fraud scenarios such as phishing links, social engineering, and fake token authorization in a gamified manner. Data shows that only 8.60% of users successfully identified all traps in the first round, but after receiving guided security tips, the pass rate increased to 65.41%.During the event, Bitget, in collaboration with Slow Mist and Elliptic, released the "2025 Global Cryptocurrency Anti-Fraud Trends Report," indicating that global losses due to cryptocurrency fraud exceeded $4.6 billion in 2024, with AI deepfakes and social engineering becoming mainstream attack methods. Additionally, Bitget partnered with security organizations like Hacken and GoPlus to hold X Space thematic discussions, advocating for a multi-party approach to building a Web3 security ecosystem.Currently, the Bitget Anti-Fraud Center operates regularly, continuously providing users with practical security guides, risk warning tools, identity verification channels, and 24/7 global support services, committed to creating a long-term reliable trading environment.

Bitget launches the second Anti-Fraud Month, collaborating with multiple institutions to build a Web3 security defense line

ChainCatcher news, Bitget officially launches the second global "Anti-Scam Month" campaign, continuing to promote awareness of cryptocurrency scam prevention. According to Chainalysis data, losses from cryptocurrency scams exceeded $9.9 billion in 2024, a 24% increase from 2020. Starting in 2024, Bitget will designate June each year as "Anti-Scam Month," assisting users in enhancing their asset and privacy security through systematic educational activities.This year's campaign is themed "Smarter Eyes, Stronger Shields," combining gamified interactions, community stories, and security popularization to encourage users to enhance their awareness and ability to identify risks. Bitget has also launched a new "Anti-Scam" action page, introducing activities such as the "Smart Glasses Avatar" campaign, a security blog column, and the anti-scam mini-game "Spy Anti-Scam Guard."On the collaboration front, Bitget partners with security organizations such as GoPlus, SlowMist, OneKey, BlockSec, and Security Alliance, as well as Web3 projects like Bitget Wallet, Morph, and Tapswap, to jointly promote the construction of the cryptocurrency security education ecosystem. In addition, Bitget will collaborate with SlowMist and Elliptic to release the "2025 Anti-Scam Report," systematically outlining current scam trends and the upgrade paths for defense mechanisms.

Anti-fraud expert Chen Meihui was suspected of malicious reporting and unfortunately died in a car accident early yesterday morning

ChainCatcher news, according to a report by Yahoo News, Taiwan's renowned "anti-fraud goddess" Chen Mei-hui tragically passed away in a car accident on the Hsinchu section of National Highway 1 early yesterday morning, at the age of 35, leaving behind two young daughters. Chen Mei-hui had long served as a blockchain financial crime investigator at XREX cryptocurrency exchange, assisting the police in combating fraud. Her sudden death has sparked shock and anger in society and among law enforcement.According to reports, the Taichung District Prosecutor's Office, after receiving a tip-off, accused Chen Mei-hui of analyzing investigation materials provided by her boyfriend, a police officer surnamed Hsieh from the Criminal Investigation Bureau's Technology Crime Prevention Center, and suspected her of leaking confidential information. The two were taken back for questioning and released on bail of 30,000 New Taiwan Dollars, but a fatal car accident occurred on their way home. The Criminal Investigation Bureau expressed deep dissatisfaction with the case, questioning the motives behind the tip-off and the fairness of the judicial system, believing that the accusation against Chen Mei-hui stigmatizes anti-fraud workers.Chen Mei-hui was regarded as a top expert in the field of cryptocurrency crime tracking in Taiwan. During her lifetime, she was passionate about public welfare and promoted various anti-fraud initiatives, including the development of cryptocurrency tracking software and resource integration.
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