Leveraging voice technology to combat cyber-fraud | 30th December 2022 | UPSC Daily Editorial Analysis

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What's the article about?

  • It talks about adopting voice technology (VT) as an identification tool in the financial system to combat cybercrime.

Relevance:

  • GS3: Science and Technology- Developments and their Applications and Effects in Everyday Life;
  • GS3: Basics of Cyber Security; Money-Laundering and its prevention;
  • Prelims

Context:

  • Bank and cyber frauds in India are on the rise.
  • According to data by the RBI, frauds have cost the country an estimated ₹100 crore a day over the last seven years.
  • The frauds reported in 2021-22 were 23.69% higher than in the previous year (9,103 cases reported compared to 7,359 in 2020-21)
  • The main reasons for the rise in fraud include greater use of digital payments, telephone banking, and online banking services.
  • One way to reduce losses is by adopting Voice Technology (VT), which encompasses voice biometrics or voice/speech recognition technology.

Basics of user-identification/recognition technologies:

  • In the present digital world, financial institutions generally employ the following types of user-recognition technologies/methods:
  • Knowledge-based authentication methods:
    • user information such as password, date of birth, OTP, or personal questions, etc are used to recognise the user.
    • These methods have inherent flaws. Thus they are not effective in preventing cybercrimes (81% of hacking-related breaches involve weak passwords).
    • Almost 90% of current user-identification in the financial institutions in India is based on these technologies.
  • Biometrics-based authentication methods:
    • Biometrics is the measurement and statistical analysis of people's unique physical and behavioral characteristics.
    • These include retina, fingerprint, voice or unique behaviour of the users to recognise them. One of the best examples of this method is the Aadhar based identification system.
    • These methods are generally considered foolproof and help to reduce cybercrime.
  • Thus Voice Technology (VT) comes under Biometrics-based authentication methods. In this technology the user's voice and related parameters are used to recognize him/her. The technology creates a digital voiceprint and compares it to a caller’s voice.

Advantages/features of Voice Technology (VT):

  • Voice authentication can significantly improve security over knowledge-based authentication methods.
  • Compared to other biometrics, voice use is the cheapest technology, and does not require a reader or special device.
  • It is also non-invasive, portable and affords remote identification. A
  • Unlike a password, a customer’s voice is impossible to spoof or copy, and is far more challenging to hack.
  • VT verifies a caller swiftly in seconds by analysing the caller’s voice and flags suspicious calls.
  • VT allows privacy because it does not require users to reveal personal information.
  • The voice biometrics industry is growing exponentially now. Experts expect the market to reach a market size of $3.9 billion by 2026, with a compound annual growth rate of 22.8%.
  • Voice could be an excellent tool for the Government to disburse money for various schemes and verify the proof of life of pensioners from their homes.
  • In February 2019, HSBC became the first bank to take the revolutionary leap in introducing voice recognition for mobile banking customers — telephone banking fraud cases fell by over 50%.

Way Forward:

  • Voice biometrics tech is making waves in the world of fraud protection by providing an extra layer of protection for data.
  • Although the technology is not yet perfect, the potential benefits are significant. Once it is in place, user establishments can reap the benefits from a substantial reduction in fraud, making the technology an essential feature in the security toolkit of the future.



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