Mobile phones are commonly used to conduct business, shop, and more, but bring with them many security concerns. Protect your phone and other mobile devices from hackers by securing your phone with a strong password, fingerprint, or facial recognition passwords.
A person's fingerprint -the most common biometric used in the world today to identify a person- is categorized as a "physiological" biometric indicator - a specific physical pattern on a person's body. A scan of the same person's face, or face recognition, is also a physiological biometric, but can also be segmented to show other physiological biometric sensors like ear-shape, width of eyes apart from one another, nose shape and length, hair type and others. Physiological biometric data is analyzed with things like facial recognition and fingerprint readers - items that are fairly commonplace on mobile devices like smart phones, laptops, and tablets.
Most experts would agree that an ideal biometric system should require a live biometric to be presented every time for access. In addition, biometric identification solutions shouldn't be the only thing that a 'lock' asks for as the 'key'; a multi-factor authentication system that blends biometric characteristics like fingerprint readers in combo with voice recognition among other more traditional items like 2FA or passwords would provide optimal security.
5. Airports - Many modern airports are beginning to use facial recognition biometrics. Travelers can enroll by having a photo of their eyes and face captured by a camera. When traveling, instead of waiting in long queues to be processed, passengers simply walk into an expedited queue, look into a camera that compares their face to their biometric database, and are approved
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, organizations 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.
Fast, easy and convenient, facial recognition is a great option for consumers and many business users. With facial recognition, unlocking your device is almost instantaneous. Your device just needs to be angled toward your face.
Prosecutorial misconduct and police adoption of face recognition technology are dangerous, and the ACLU has been pushing to halt both. Until that happens, prosecutors must give defendants full access to information about the algorithm used against them in places where face recognition technology has already been deployed. This includes the underlying model, training data, computer code, explanatory documentation, and any other results from which the final, reported result was chosen. Any validation studies should also be available as well as the opportunity to question the people who use and created the system.
Stephen Downes, senior research officer for digital technologies with the National Research Council of Canada, commented, The net result of the pandemic will be an increased recognition of the role of governance and civil society, seen in an increased interest in social and economic support, including, for example, the need for public health care and for income support. It will also be seen in greater social and civic responsibility, including new controls on policing and greater access to services for minorities and underserved populations. And it will be seen in a wider recognition of social responsibility, for example a return to more progressive taxation, especially corporate taxation, as a response to income inequality.
But Bkav's history lends its demonstration some credence. Nearly a decade ago, the company's researchers found that they could break the facial recognition of laptop makers including Lenovo, Toshiba, and Asus, with nothing more than two-dimensional images of a user's face. They presented those widely cited findings at the 2009 Black Hat security conference.
Like the fingerprint scanner, facial recognition technology scans a face based on approved and stored parameters and measurements. These parameters are collectively called faceprints. Access is granted only when a large number of them are satisfied. Despite the inconsistency in matching faces to parameters from different angles or distinguishing between similar or related people, facial recognition is included in several smart devices. 2b1af7f3a8