User Authentication Based on Machine Learning Algorithm

ApON-EZMCOM develops algorithm that is machine learning based Entity User Behavior Authentication. To know more contact sanjaybardiya@apon.co.in

User behavior will take center stage as security moves beyond passwords. --- Symantec Predictions 2015

Authentication has traditionally relied on users producing one or more of something you know (such as a passwords or PIN), something you have (such as a number from an hard token key) or something you are (such as your fingerprints or face.)…. Behavior-based biometrics, adds another factor to the mix: (“something you do”). Keystroke rhythm is a natural choice for computer security. This concept stems from observations that similar neuro-physiological factors that make written signatures unique are also exhibited in a user’s typing pattern.