Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Behavioral analysis for a continuous user authentication

Contributo in Atti di convegno
Data di Pubblicazione:
2019
Abstract:
New generation devices are pervasive in nature and provide a number of security sensitive functionalities, which might expose the user private information to serious security and privacy threats. The main countermeasure used to prevent unauthorized access is the user authentication. Most of these devices are still protected by traditional authentication mechanisms (PIN, password), which are exposed to well known security limitations. These issues are mitigated by the introduction of new physical biometric authentication mechanisms. Biometric authentication, basing on user physical traits and requiring the user presence at the authentication time, makes the system more secure. Despite the new mechanisms overcome some data security issues, they still suffer from other usability problems. In this paper we explore a new unobtrusive authentication mechanism based on human behavior.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
behavioral authentication; Deep Learning; inertial sensors
Elenco autori:
Giorgi, Giacomo; Martinelli, Fabio; Saracino, Andrea
Autori di Ateneo:
MARTINELLI FABIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/381395
Pubblicato in:
CEUR WORKSHOP PROCEEDINGS
Series
  • Dati Generali

Dati Generali

URL

http://www.scopus.com/inward/record.url?eid=2-s2.0-85069442491&partnerID=q2rCbXpz
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)