January 26, 2018 -
The Institute of Laser and Plasma Technologies at Russia’s National Research Nuclear University MEPhl have developed a new method of continuous protection for mobile devices based on behavioral biometrics, Phys.org reports.
The method is the result of research presented at several international conferences and published in an article, “Mobile authentication over hand-waving,” which describes the analysis of how a user handles the device to determine if it is the device owner. The method does not require any particular action from the user, and cannot be lost, stolen, or faked like other user verification methods, according to the researchers.
“The scientific novelty of our project is that for the first time we applied the technology for data analysis, machine learning and artificial neural networks to provide continuous authentication of mobile device users according to their behavioral biometric characteristics. The sensitivity of the sensors used in modern smartphones allows you to select the behavioral characteristics of each user and to use authentication with high accuracy on the basis of aggregate data coming from the touchscreen and other sensors,” project leader Konstantin Kogos told Phys.org.
As previously reported, Gartner has predicted that AI would enable smartphone vendors to replace active authentication with integrated behavioral biometrics for mobile device protection over the next two years.