BehavioSec Form|商業線上App不用買-HotApp4Game

The software gathers your behaviometric profile when you type in the given fields via the normal iOS keyboard. It then, on submit, sends the data to a BehavioWeb server for evaluation. no account needed. select any username you wish. The server matches the behavior to any previous behavior submissions for that username, and returns a score and confidence value. The score value is an integer value between 0 and 100. 100 implies a perfect match between submitted behavior and the stored behavior. Closer to 50 indicates a match can't be determined, while a score close to 0 signals that it is not the correct user. Use any ID you wish. There is no need to do a registration as the software automatically and transparantly adds the user the first time. EXAMPLE User '8112102314' inputs data into the two fields a number of times to make sure his behavior profile is 'trained'. Now when he submits more data he gets score values between 70-100. He passes the phone to a friend who tries to enter the same user data, using jlindolm as username. The score now drops bellow 50, because of different user behavior. Check out http://cloud.behaviosec.com/BehavioWebDashboard/ to see your score in the Behavio dashboard system. A normal authentication software would not know the difference if user A or user B logs into user A's account. However, BehavioSec behavioral algorithms can sense the difference by using the users unique behavioral fingerprint to analyze the behavior of each user. BehavioSec offers Behaviometric solutions to create a multi layered approach for authentication & verification purposes. The solution is designed to tackle the need for enhanced security without annoying the end user or impeding commerce. By transparently creating a 'behavioral fingerprint' our solutions make sure that you are always protected by verifying the user's identity without introducing cumbersome security measures or requiring additional hardware. BehavioSec software significantly speed up fraud detection and investigation by recognizing if the users are who they say they are. This app shows the user behavior match for a user using a normal iOS keyboard. This app determines the user behavior match for a user using a common form fields