Inovix Keypad SDK


Inovix Keypad-SDK is a biometric engine.

This technology captures the individual keypad typing patterns and creates a template that uniquely identifies an individual as that person types his or her password on a keypad. This typing pattern, combined with the user's password, generates a "hardened password". Even if hackers get access to the password they will be unable to type it on the keypad in the same way as the legitimate user.

Although studies do show that in rare circumstances it is possible for certain persons to mimic someone else's typing pattern by directly observing them type in the password, they also show that impostors are no able to repeat this performance when they are no longer directly observing that person.

The system is set up to learn the user's keypad typing patterns in a 1 minute enrollment session. During this short enrollment time the user is prompted to enter his user name and password until sufficient samples are collected to learn the user's keypad typing patterns. This enrollment process can be done in one enrollment session or can be spread during a number of normal user log-on sessions with everything working in the background. Both methods are very effective at constructing a statistically unique user template. The stored template size is less than 300 bytes and typically offers more than 1% EER accuracy. Thus making the password 100 times more secure.

At log on time the user is asked to type in his/her username and password. The particular timing characteristics of the username and password are then matched against the stored template. The matching itself is done in less than 1 millisecond. The matching score represents the degree of similarity for the biometric match; when compared to a preset threshold as set by the system administrator will determine if there is a math or if the user will be rejected.

Strong user authentication occurs when an individual is required to provide more than one form or proof of identity. Inovix authentication solution requires individuals to provide something they know (a password) and something they do that is unique to them (their typing pattern).

Inovix Keypad-SDK authentication solution is designed to avoid the problems associated with using traditional password security, such as internal security breaches, social engineering, password-cracking programs, and employee negligence. By providing a completely new layer of protection.

Inovix Keypad-SDK eliminates the problems associated with casual sharing of passwords between individuals. Further, individuals with malicious intent cannot use passwords protected by our authentication technology, even with sophisticated password cracking tools. Password resets and rotation policies at the biometric level can be successfully employed.

To commercialize this technology we are looking for investors & system integrators which can be solution and design partners and can help with commercial application marketing, sales and deployment.

See our "Security in Mobile Markets" white paper for potential applications.

Demo sample showing the Inovix Keypad SDK capabilities is available as a free download. Coming soon!



Inovix VoiceVerify SDK

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The Inovix VoiceVerify SDK is designed for OEMs, VARs and developers who want to easily integrate voice matching technology into both existing and new applications. This product will enable businesses to add security to applications in a wide range of areas, including data-security, telecommunications, financial services, e-commerce and healthcare services. More details...


Inovix Keypad SDK

Inovix Keypad-SDK is a biometric engine.

This technology captures the individual keypad typing patterns and creates a template that uniquely identifies an individual as that person types his or her password on a keypad. This typing pattern, combined with the user's password, generates a "hardened password". Even if hackers get access to the password they will be unable to type it on the keypad in the same way as the legitimate user
. More details...


See our "Security in Mobile Markets" white paper for potential applications.