FB pixel

Facial recognition helps Indian authorities identify SIM fraudsters

Privacy questions raised as 1000s more SIM cards deactivated
Facial recognition helps Indian authorities identify SIM fraudsters
 

Authorities in two Indian states have deactivated 17,000 SIM cards after using facial recognition technology to detect subscribers issued SIM cards against regulations.

The Department of Telecommunication (DoT) in the states of Bihar and Jharkhand found a total of 21,800 fraudulent SIM cards in April and May, The Print reports.

In order to prevent fraud, India limits the number of SIM cards to nine per subscriber. Some states have cut that number to six SIM cards per person. Scammers, however, have been using forged identity documents such as Aadhaar and headshots taken at different angles to register for multiple cards.

To prevent this, Indian authorities have come up with a new biometric tool called “AI and facial recognition-powered Solution for Telecom SIM Subscriber VeRification” (ASTR).

The news comes amid a rise in cyber crimes in eastern India. Fraudulent SIM cards are often used by fake call centers and in illegal betting and sex racketeering.

Earlier this month, DoT blocked 225,000 mobile SIMs in the states of Bihar and Jharkhand, according to the Times of India. In the release, the agency noted that the New Delhi DoT has carried out biometric facial analysis of more than 870 million SIM card subscribers in India.

“The analysis has been carried out using ASTR in collaboration with the Centre for Development of Advanced Computing. The result of analysis has been shared with Department of Telecommunication field units to ensure action against SIM fraudsters with the help of Telecom Service Providers and state police,” the statement reads.

The Indian government says it has used ASTR to block 835,000 SIM cards issued on fake IDs in the last three months. A half-million were blocked last year.

Privacy questions raised over facial recognition use

Although facial recognition tech is now being used across multiple states in India to combat fraud, questions about data privacy and ASTR are also coming to the fore.

India still doesn’t have a personal data protection regime or AI-specific regulation. But this hasn’t stopped the DoT from outlining plans to use ASTR to analyze the entire telecom subscriber base of India, The Hindu reports. This amounts to 1.17 billion subscribers.

The ASTR analyzes images of subscribers provided by telecom companies by grouping them into similar-looking images with the help of facial recognition technology. In the next step, it compares subscriber details and uses a string-matching concept called “fuzzy logic” to identify similar-looking names of users or other Know-Your-Customer (KYC information) to group them. In the last step, the system determines if the same face or person has acquired SIMs in in multiple names, dates of birth, bank accounts, address proofs, and other KYC information.

ASTR may be prone to inaccuracies, including false positives, if the facial recognition technology is faulty, the report notes. False identification with facial recognition has resulted in wrongful arrests and exclusion from social security schemes in India in the past.

Legal questions have also been raised about the use of ASTR. According to news organization Medianama, Indian citizens have largely been kept in the dark about the processing of their facial data. Medianama reported that the DoT failed to provide information about ASTR’s data safeguard and retention regulations and declined to release a copy of the final contract for the technology citing confidentiality.

Article Topics

 |   |   |   |   | 

Latest Biometrics News

 

Canada regulator backs privacy-preserving age assurance

The Office of the Privacy Commissioner of Canada (OPC) has published a policy note and guidance documents pertaining to age…

 

FCC seeks comment on KYC revision for commercial phone calls

The U.S. Federal Communications Commission (FCC) has proposed stronger KYC requirements for voice service providers to prevent scams and illegal…

 

Deepfake detection upgrade for Sumsub highlights continuous self-improvement

Sumsub has launched an upgrade to its deepfake detection product with instant online self-learning updates to address rapidly evolving fraud…

 

Metalenz debuts under-display camera for payment-grade face authentication

Unlocking a smartphone with your face used to require a camera placed in a notch or a punch hole in…

 

UK regulators pan patchwork policy for law enforcement facial recognition

The UK’s two Biometrics Commissioners shared cautionary observations about the use of facial recognition in law enforcement over the weekend…

 

IDV spending to hit $29B by 2030 as DPI projects scale: Juniper Research

Spending on digital identity verification (IDV) technology is projected to reach a 55 percent growth rate between now and 2030,…

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Biometric Market Analysis and Buyer's Guides

Most Viewed This Week

Featured Company

Biometrics Insight, Opinion

Digital ID In-Depth

Biometrics White Papers

Biometrics Events