People are often less mindful of the security risks posed by IoT devices , as they do not necessarily think of devices as storing and communicating data in the same way as traditional computing devices , says Furnell .
“ If you ask people to characterise a smart device , they are likely to do so by referring to it being ‘ online ’ or simply ‘ connected to the Internet ’. However , the wider implications of what this means – and what the device may be collecting and sharing – is often lost .”
AI biometrics need to stay simple says SailPoint Biometrics done well can nudge people towards the adoption of good security practices without imposing an additional burden , explains Mike Kiser , Director of Strategy and Standards , SailPoint . Facial recognition on mobile devices involves simply looking at the phone or screen , for example , something done in the course of regular interaction . Users are not asked to adopt a new approach .
“ In this way , security is improved , all while accelerating authentication as compared to some older approaches ,” explains Kiser . “ For IoT devices , biometric authentication might be a more appropriate form factor as well : not every IoT device will have a screen or keypad — biometrics could use a fingerprint or voiceprint reader to authenticate the user rather than adding additional , unwieldy technology .”
IEEE ’ s Furnell agrees this level of convenience is essential if biometrics are going to be adopted quickly . No one wants to type a password into a smart TV or speaker , whereas being recognised by face or voice is a natural way to interact with each type of device , he says .
“ Users control the smart speaker via voice commands and are typically sitting in view of a smart TV when they use it . The process of being authenticated by the device becomes transparent and non-intrusive from the user perspective . As a result , it feels more usable or frictionless .”
72 October 2022