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Feb 24 2021

Pros and cons of the Biometric Fingerscanner

Biometric authentication and its uses in modern-day tech and digital applications have a number of advantages:

  1. High security and assurance – Biometric identification provides the answers to “something a person has and is” and helps verify identity
  2. User Experience – Convenient and fast
  3. Non-transferrable – Everyone has access to a unique set of biometrics
  4. Spoof-proof – Biometrics are hard to fake or steal

High security and assurance 

Biometrics provide increased levels of assurance to providers that a person is real by verifying a tangible, real-world trait as both something the user has and something the user is. Most user’s passwords and PINs and personal identifying information have likely been compromised with a data breach, meaning, billions of accounts can be accessed by fraudsters who retain the answers to traditional authentication methods. Introducing biometric authentication into the process adds in a road-block for fraudsters that only a real, authorised user can circumnavigate – though a fraudster may know a person uses their dog’s name and some lucky numbers for most of their online accounts, they can’t use their fingerprint to unlock an account if they can’t provide it on the spot. Additionally, biometrics can only be provided by living, breathing people – at this point in time, a robot would have a hard-time passing an iris scan.

User experience is convenient and fast

While the internal processes for biometric authentication is technical, from a user’s point of view it’s incredibly easy and quick. Placing a finger on a scanner and unlocking an account in seconds is faster than typing out a long password that has multiple special characters. In addition, forgetting a password is a common mistake of most users. The chances of you forgetting your own biometrics? Never!

Non-transferable 

Biometric authentication requires its input is present upon authorisation. You can’t transfer or share a physical biometric digitally – the only way to utilise most biometric authentication systems is with a physical application.

Near spoof-proof

Biometrics like face patterns, fingerprints, iris scanning, and others are near-impossible to replicate with current technology. There’s a one in 64 billion chance that your fingerprint will match up exactly with someone else’s. Said a different way, you have a better chance winning the lottery than having the same fingerprint as a hacker trying to get into your account that’s secured by biometrics. 

Despite increased security, efficiency, and convenience, biometric authentication and its uses in modern-day tech and digital applications also have disadvantages:

  1. Costs – Significant investment needed in biometrics for security
  2. Data breaches – Biometric databases can still be hacked
  3. Tracking and data – Biometric devices like facial recognition systems can limit privacy for users
  4. False positives, bias and inaccuracy – False rejects and false accepts can still occur preventing select users from accessing systems

Costs

It’s no surprise that a more advanced security system would require significant investments and costs to implement. In a 2018 survey by Spiceworks, 67 percent of IT professionals cite cost as ”the biggest reason for not adopting biometric authentication.” Transitioning to a biometrics authentication wouldn’t be the only thing a company would have to pay for, with 47% of the surveyed stating a need to upgrade current systems in order to support a shift to biometric authentication on their devices.

Data breaches

Businesses and governments that collect and store users’ personal data are under constant threat from hackers. Because biometric data is irreplaceable, organisations need to treat sensitive biometric data with increased security and caution – something that’s expensive and technically difficult in order to stay ahead of fraud advancements. If a password or pin is compromised, there’s always the possibility of changing it. The same can’t be said for a person’s physiological or behavioural biometrics. 

Tracking and data

As the world increases its use of biometric authentication systems like facial recognition technology and other biometric security measures, privacy of users needs to be taken into consideration. When biometrics are converted into data and stored, particularly in places or countries that have large surveillance measures, a user runs the risk of leaving a permanent digital record that can be potentially tracked by nefarious actors. In many instances, organisations and governments have used facial recognition software to track and identify people with scary accuracy that significantly inhibits privacy. As surveillance increases, biometric data can become a permanent digital tag that can be used to track someone, both with and without their knowledge.

False positives, bias and inaccuracy

Most common biometric authentication methods rely on partial information to authenticate a user’s identity. For example, a mobile biometric device will scan an entire fingerprint during the enrollment phase, and convert it into data. However, future biometric authentication of the fingerprint will only use parts of the prints to verify identity so it’s faster and quicker. In 2018, a research team from New York University created an Artificial Intelligence platform that was able to fraudulently crack fingerprint authentication at a success rate of 20% by matching similarities of partial prints to the full biometric data. Biometric authentication can also be biased to users who cannot provide the physical input it requires (i.e. handicapped individuals), as well as changes to existing users. If a person injured their finger they use for biometric authentication, the print might not match the data and they’d be barred from access.

So, now you know a little bit more information on the pros and cons of a biometric finger scanner. Make sure to get in touch with Computime Systems today at 0113 868 0124.

Written by Computime UK · Categorized: Biometric · Tagged: biometric, biometric access control, biometric access control systems, biometric clocking in machine, biometric clocking in machines, biometric clocking in software, biometric clocking in systems, fingerscanner

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