Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents  BoD Shapes , a novel authentication method for smartphones that uses the back of the device for input.  argue that this increases the resistance to shoulder surfing while remaining reasonably fast and easy-to-use.  performed a user study ( n =24) comparing BoD Shapes to PIN authentication, Android grid unlock, and a front version of our system. Testing a front version allod us to directly compare performance and security measures beten front and back authentication. Our results show that BoD Shapes is significantly more secure than the three other approaches. While performance declined, our results show that BoD Shapes can be very fast (up to 1.5 seconds in the user study) and that learning effects have an influence on its performance. This indicates that speed improvements can be expected in long-term use.
['Alexander De Luca', 'Emanuel von Zezschwitz', 'Ngo Dieu Huong Nguyen', 'Max-Emanuel Maurer', 'Elisa Rubegni', 'Marcello Paolo Scipioni', 'Marc Langheinrich']
I am writing a research paper on a idea Back-of-device authentication on smartphones
[{"from": "human", "value": "I am writing a research paper on a idea Back-of-device authentication on smartphones"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents  BoD Shapes , a novel authentication method for smartphones that uses the back of the device for input.  argue that this increases the resistance to shoulder surfing while remaining reasonably fast and easy-to-use.  performed a user study ( n =24) comparing BoD Shapes to PIN authentication, Android grid unlock, and a front version of our system. Testing a front version allod us to directly compare performance and security measures beten front and back authentication. Our results show that BoD Shapes is significantly more secure than the three other approaches. While performance declined, our results show that BoD Shapes can be very fast (up to 1.5 seconds in the user study) and that learning effects have an influence on its performance. This indicates that speed improvements can be expected in long-term use."}]