One Article Review
| Source |  Network World |
|---|---|
| Identifiant | 301697 |
| Date de publication | 2017-01-27 06:00:24 (vue: 2017-01-27 06:00:24) |
| Titre | AI-based typing biometrics might be authentication\'s next big thing |
| Texte | Identifying or authenticating people based on how they type is not a new idea, but thanks to advances in artificial intelligence it can now be done with a very high level of accuracy, making it a viable replacement for other forms of biometrics.Research in the field of keystroke dynamics, also known as keyboard or typing biometrics, spans back over 20 years. The technique has already been used for various applications that need to differentiate among computer users, but its widespread adoption as a method of authentication has been held back by insufficient levels of accuracy.Keystroke dynamics relies on unique patterns derived from the timing between key presses and releases during a person's normal keyboard use. The accuracy for matching such typing-based "fingerprints" to individual persons by using traditional statistical analysis and mathematical equations varies around 60 percent to 70 percent, according to Raul Popa, CEO and data scientist at Romanian startup firm TypingDNA.To read this article in full or to leave a comment, please click here |
| Envoyé | Oui |
| Condensat | according accuracy adoption advances already also among analysis applications around article artificial authenticating authentication back based been between big biometrics but can ceo click comment computer data derived differentiate done during dynamics equations field fingerprints firm forms from full has held here high how idea identifying individual insufficient intelligence its key keyboard keystroke known leave level levels making matching mathematical method might need new next normal not now other over patterns people percent person persons please popa presses raul read releases relies replacement research romanian scientist spans startup statistical such technique thanks thing timing traditional type typing typingdna unique use used users using varies various very viable widespread years |
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