Work

Fast, Lean, and Accurate: Modeling Password Guessability Using Neural Networks

Year: 2016

Type: conference-paper

Source: USENIX Security Symposium

Authors: William Melicher, Blase Ur, Sean M. Segreti, Saranga Komanduri, Lujo Bauer, Nicolas Christin, Lorrie Faith Cranor

Institution: Carnegie Mellon University

Language: English

Topic: User Authentication and Security Systems

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2463456957

FWCI: 22.83

Cites: 40

Cited by: 252

Related to: 10