2022年1月17日

How to find and control financial institutions to be vigilant against new “digital RMB” fraud?

Recently, criminals take advantage of some ordinary people’s lack of understanding of the digital RMB, want to actively participate in the mentality, under the banner of “digital RMB”, constantly use new tricks for fraud, causing people’s property losses and information leakage.

In the face of the new situation, on the basis of increasing anti-fraud propaganda to the public, as an important part of the digital RMB financial institutions, in this anti-fraud and anti-counterfeiting, stealth anti-money laundering action, what should be done?

New topics in safety and risk control

“Of a new task for digital yuan fraud risk, commercial Banks, payment institutions need to upgrade the account front-end identification and verification, due diligence and trading information into a terminal safety certification, to improve the abnormal transaction monitoring of funds, especially about digital real-time screening the abnormal trading rules and early warning model, in order to strengthen the management of account and merchants such as multi-pronged technical means, Accurate perception, dynamic defense, block suspicious transaction behavior, cut off the problem fund link.” Yuewei, a security expert of Tongdun Technology industry and an anti-fraud lecturer of the Payment and Clearing Association, suggested that commercial banks and payment institutions focus on these things:

One, focusing on abnormal capital chain and upstream and downstream related to number RMB account, strengthen the digital yuan wallets and KYC top-up against into the function such as questionable transactions risk detection, attention and promote to build the App and safety certification, to prevent and identify account wallet stolen brush theft, by transfer payment, by withdrawal by prepaid phone, copied and steal, such as risk, And strengthen the time sequence feature capture on the service link, real-time analysis and real-time warning.

Ii. To further enhance the monitoring of suspicious fund transactions, establish an intelligent real-time and quasi-real-time detection system for abnormal flow of funds involved in money laundering such as digital RMB abnormal signing, card binding and recharge, as well as abnormal transaction characteristics, and effectively improve the ability of accurate identification of risks.

Three, full screen recognition digital yuan deals and associated counterparty capital account, in time to cut off the trading funds pay link, in view of the high frequency, digital currency transactions account, dispersion, the characteristics of knowledge atlas technology can be introduced, perform root-cause analysis, correlation analysis and incorporate case analysis, further mining groups involved.

“Fundamentally, financial institutions need to yuan trading new risks, the new characteristics of present, strengthen the real-time control ability of the abnormal capital chain, from the early stage of the customer, risk identification to the transaction control, to cut off the fraudulent trading link, to the later risk rating, feedback strategy the superior aspect, perfect digital yuan trading fraud defense system.” “Read micro said.

KYC+ trusted system

According to The micro introduction, the recent digital RMB fraud mainly involves obtaining and stealing victims’ personal information, stealing and stealing users’ digital wallets and bank accounts, and there are also illegal activities such as renting and purchasing others’ mobile phone cards, bank cards/accounts and digital RMB wallet accounts. In the process of illegal fund transfer through digital RMB wallet, a large number of cross-bank dispersed small amount of funds are often exchanged, which greatly increases the difficulty for banks to identify transaction accounts.

In view of these characteristics, banks should focus on the abnormal fund chain related to digital RMB and its upstream and downstream accounts, so as to be the first line of defense for account security. The subject data model of digital currency transactions covering customer identity, behavior information, risk status, transaction environment and associated relationship should be built to support the identification of coin-related transaction customers, and a set of trusted system based on user portrait, transaction behavior, equipment environment, account risk rating, etc.

In addition, financial institutions can also conduct feature analysis on the involved card, recharge account, personal basic information, related person information, internal and external label information, device, mobile phone number, IP risk list, etc., based on the acquired data of coin-related transaction accounts, and effectively identify coin-related accounts by combining external data. And whether the transaction user based on their own account habitual transaction behavior, commonly used equipment, trusted environment and time risk portraits, with the help of machine learning model for trusted judgment, identify whether the user is not himself or not his will, the risk detection of stolen trade.

Monitoring of digital wallet transactions involving coins

Digital RMB is based on the characteristics of double offline payment and new technology encryption to ensure security and controllable anonymity. Its legal currency itself has strong security technology support, and its carrier digital wallet and bank account risk prevention has become the top priority of risk prevention and control of this new technology hotspot.

Digital the purse of safety management, digital, therefore, an inter-bank transfers between the purse wallet, digital currency and an inter-bank money transfers between accounts such as monitoring, require financial institutions to carry out more targeted characteristics capture and abnormal transaction monitoring, through rules strategy, digital currency trading scene analysis model, map analysis, identify anomalies and suspicious transactions, The comparison of abnormal behavior characteristics in time series is added to give early warning to merchants or individuals that may have abnormal transactions. Based on the analysis results, the risk monitoring efficiency and accuracy of coin-related transactions are improved.

We will strengthen management of accounts and businesses

Financial institutions should be in effective KYC and credible system, digital wallets on currency transactions monitoring basis, through the big data platform, risk control, market supply of data, constructing a currency characteristics calculation and the involved rules, model and map analysis and decision-making system, the resulting digital currency trading account/list of merchants, cut off the funds involved in the transaction link, and complete the risk management and effect analysis, Feedback risk control strategy tuning.

Financial institutions should also combining the feature of the laundering of illegal money transfers, monitored suspicious “payment account”, because in a lot of problems, often transfer or accept any change or false top-up “ma3 jia3” account, payment transactions, to evade the bank risk control, so the Banks and payment institutions also need to further build a list of illegal money transfers trade risk library, “Zero tolerance” crackdown on illegal trading accounts.

The knowledge graph technology is introduced to strengthen the traceability ability of capital chain

Many transactions of coin-related fraudulent funds are organized activities with a clear division of labor between upstream and downstream. Financial institutions need to guard against digital RMB being committed by online gambling, money laundering and other gang fraud crimes. Therefore, Yuewei suggests that financial institutions combine knowledge graph technology with control model for accounts or merchants. For gang crimes, gang detection was carried out, such as in-depth excavation of upstream and downstream accounts related to currency, traceability analysis and association analysis.

The knowledge graph can help financial institutions build a complex network of entities based on data analysis and scenario analysis, and apply abnormal relationship and risk characteristic model on the knowledge graph to dynamically calculate the propagation path, propagation results and influencing factors of risks, and effectively dig the potential risks of digital currency transactions.

Introduce risk situational awareness system

In addition to focusing on the link between digital currencies, wallets and the financial system, and adopting measures such as “payment interruption”, financial institutions can also sniff out potential fraud patterns of coin-related transaction risks by actively learning and identifying unknown abnormal events. Terminal security risk situational awareness system, based on fingerprint technology and the network side equipment data, combined with large data processing technology, business knowledge precipitation and AI algorithm model, can take the initiative to lock in the existing system and a new type of risk source information threatening, cut the risk of active perception, detection, defense, visual, interactive, traceability, etc. The overall closed-loop link.

The digital RMB is still in the early pilot stage, and the ecological defense system is still in the process of continuous improvement. Tongdun technology will continue to explore and research, and continue to provide financial institutions with more perfect financial business security solutions.

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