TypingDNA launches authentication solution based on short text samples

TypingDNA has developed technology capable of identifying individuals by how they type short, repetitive text samples, enabling key-stroke biometrics to be added as a secondary form of authentication for account logins and passwords, the company has announced. The new TypingDNA product can authenticate users the second time they enter a certain text string, according to the announcement, and works on both desktop and mobile devices. The company’s authentication solutions are compliant with authentication regulations, and the strength of typing biometrics

Crossmatch adds BehavioSec behavioural biometrics to DigitalPersona enterprise security application

Crossmatch has partnered with BehavioSec to integrate behavioural biometrics into its DigitalPersona 2.3 composite authentication solution, the companies announced Monday. BehavioSec’s keyboard capture product is incorporated as an extra authentication layer in DigitalPersona 2.3, in addition to the one-time passwords, PIN, contact or contactless cards and fingerprints which were already available as authentication factors for customizable solutions based on the organization’s preference. “We selected BehavioSec’s platform because they are singularly focused on behavioral biometrics and have well-established and proven technology

Clarkson University students develop keystroke authentication methods, datasets

Three Clarkson University ECE undergraduate researchers — Christopher Murphy, Timothy Law, and Adam Sherwin — have developed methods and datasets for keystrokes authentication, which they have detailed in two research papers. The research papers, which the students co-authored, have both been peer reviewed and accepted by two renowned international conferences. The first paper, “Shared Dataset on Natural Human-Computer Interaction to Support Continuous Authentication Research,” by Christopher Murphy, Jiaju Huang (CU PhD student), Daqing Hou, and Stephanie Schuckers, has been presented

Explainer: Keystroke recognition

Keystroke recognition has been defined by both industry and academics as the process of measuring and assessing a typing rhythm on digital devices, including on: computer keyboards, mobile phones, and touch screen panels. A noted typing measurement, keystroke recognition, often called “keystroke dynamics”, refers to the detailed timing information that describes exactly when each key was pressed on a digital device and when it was released as a person types. Though biometrics tend to rely on physical traits like fingerprint

TypingDNA raises new investment in latest financing round

Behavioural biometrics firm TypingDNA has raised new investment in its latest financing round lead by Gecad Ventures with money also coming from Adrian Gheara, Alexandru Negrea, Lucian Todea, and Dan Mihaescu. The amount raised was not disclosed. According to a report in Geektime, the Romanian startup uses machine learning algorithms that authenticates users via “keystroke dynamics” or “biometric typing” to identify users by typing speed, movements and keypad pressure to detect remote access hacks or attempts by an unauthorized user

Delfigo Security files patent on keystroke and touch-based biometrics

Delfigo Security has filed a utility patent based on identification through keystroke or mobile touch-based biometrics. According to the company, its newly developed technology improves the strength of enrollment data for new users of keystroke and mobile biometric solutions, resulting in better scoring immediately following enrollment. “The well known and understood phenomenon of Hysteresis, which is the dependence of a system not only on its current environment but also on its past environment is key to ensure that we turn