Facial Recognition Technology & Security Concerns

    Facial Recognition Technology & Security Concerns

    Facial recognition technology will play a significant role in enabling a safer world going forward, which makes it crucial to invest in protecting privacy and data security.

    Like any other technology, facial recognition technology also has some limitations such as security breaches, biometric misuse, potential data theft, cyber risks, etc. Below are some security concerns that are related to facial recognition technology-

    Biometrics Misuse

    The use of biometrics in facial recognition technology is not private, and that causes more security concerns to the industry. It is considered as property more than a vulnerability but because of the concern of being copied, it gives rise to the present security challenges. The probability of spoofing a facial recognition system becomes more dominating, as pictures or 3D masks can be created from imagery taken of a victim.

    Another concern that all biometrics has is that the matching process is statistical, which means it is hard for users to face the camera in exactly the same way, they did before. The user’s features might be different depending on the time of day, cosmetic uses, etc.

    Therefore, facial recognition technology has to determine how likely a face presented to it is that of an authorized person which will make space for loopholes for some people who may resemble others in sufficient ways that they can authenticate as other people due to similar features. These facial identical security risks make users more worried about the use of technology for mass surveillance.

    Security Breaches

    The development of facial recognition technology has allowed a shift of data storage to the cloud. In terms of cybersecurity, cloud-based storage vastly outperforms on-site network systems, being one of the safest environments for data storage. But many data breaches have happened in face recognition technology apps.

    A report by Bloomberg on Hackers Breach Thousands of Security Cameras, Exposing Tesla, Jails, and Hospitals exposed that a bunch of hackers breached popular surveillance and facial recognition camera company named Verkada.

    In this security breach, hackers accessed live feeds of thousands of surveillance cameras across the world inside companies, hospitals, police departments, prisons, and schools.

    Another facial recognition software company named Clearview AI, was hacked. It has a database of more than 3 billion photographs from Facebook, YouTube, and Twitter, and uses them for facial recognition technology. Along with this, hackers also got access to the entire client list of the company.

    Improper Data Storage & Sharing

    Facial recognition privacy concerns are also related to improper data storage which exposes face ID credentials to potential cybersecurity threats.

    As many organizations host their face recognition data in local servers, maintaining network security 24*7 is not easy unless the company has a team of cybersecurity experts.

    This hosting of data over local servers makes it easy for hackers to gain access. Therefore, the most secure option for facial recognition data storage is the cloud-based system. But here one thing that companies must assure is data encryption.

    If the data encryption or the key is not properly encrypted and is exposed via improper storage, the cloud-based system cannot be as helpful. In order to make data storage breach-proof, facial recognition cybersecurity control should be controlled by the user administrator. This consumer control enablement will increase accountability and makes it easier to inspect and identify malicious traffic.

    There is no doubt that face recognition technology has been a strong and remarkable invention of artificial intelligence. But there are many security concerns that the industry has to take care of. However, the proper information and application leveraging will ultimately improve the security of facial recognition technology.

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    Nisha Sharma- Go beyond facts. Tech Journalist at OnDot Media, Nisha Sharma, helps businesses with her content expertise in technology to enable their business strategy and improve performance. With 3+ years of experience and expertise in content writing, content management, intranets, marketing technologies, and customer experience, Nisha has put her hands on content strategy and social media marketing. She has also worked for the News industry. She has worked for an Art-tech company and has explored the B2B industry as well. Her writings are on business management, business transformation initiatives, and enterprise technology. With her background crossing technology, emergent business trends, and internal and external communications, Nisha focuses on working with OnDot on its publication to bridge leadership, business process, and technology acquisition and adoption. Nisha has done post-graduation in journalism and possesses a sharp eye for journalistic precision as well as strong conversational skills. In order to give her readers the most current and insightful content possible, she incorporates her in-depth industry expertise into every article she writes.

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