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Hospital's Fast & Secure Authentication System on Mobile Devices
Transcript of Hospital's Fast & Secure Authentication System on Mobile Devices
WiFi networks and
are part of most Hospitals Infrastructures
Mobile Devices are used to register Drugs and Clinic Material consumptions
Shared use of
Users spend too much time authenticating in Mobile Devices
Consecutive insertion of access credentials in the authentication process (professional’s rotativity)
Users may not logout, subsequent drugs consumptions registrations are made with the credentials of the previous user, which compromises drugs administration traceability
System that automatically logs in / logs out the user just by approaching / moving away from the mobile device
methods and algorithms
No installation costs
No maintenance costs
To use an infrastructure
based on US, RFID, WiFi, Proprietary Technology
AoA, ToA, TDoA, Trilateration, Triangulation, RSSI
Use existing WiFi infrastructure
give a new ID card
to each user, with a WiFi Tag
Use Real Time Location System (RTLS) with RSSI (Received Signal Strength Indication), Time Difference of Arrival (TDoA) and Trilateration methods to determine with more accuracy the nurse's and mobile device's location
When the proposed system detects that the user is next to the mobile device, it
automatically logs him in
When the system detects that the user is moving away from the mobile device, it
automatically logs him out
agility to access
Log in time may be nonexistent:
average Log in time decreases significantly.
Increases security to applications access.
Increases security in drugs administration, preventing the drugs consumptions to be registered as have been made by the previous logged in user
User's satisfaction levels increase
System uses RTLS with a combination of RSSI, TDoA and Trilateration algorithms do increase accuracy in determining the WiFi Tag and Mobile Device location.
The user is automatically
, just by approaching the mobile device.
For increasing the access security, user must insert is password on a defined time interval
Time of Arrival
Time Difference of Arrival
Received Signal Strength Indicator
System matches user's and mobile device's location, by reading AP data on the connect devices and treating that data, using the mentioned optimization location algorithms.
If the match is accurate (user and mobile device are at the same coordinates), the user is automatically logged in in the application.
, the user is prompt to insert is log in credentials.
Although inserting a private password is, in theory, a stronger authentication process, most users use a weak password or give it to know to third parties.
Users must always carry the
. In case of losing it, the user must immediately inform the HR department, so it can be disabled.
The signal of the user or the mobile device may not be detected (signal noise, obstacles in signal trajectory), or more than one user are detected to be near the device.
Real-Time Location System
- Data Write Capability
- Power Supply and Data Transmission
Angle of Arrival
Helder Cunha (2131025)
Mário Carvalho (2130064)
Vítor Marto (2131278)
Catarina Silva (MIEC)
António Pereira (RSSNG)
Mestrado em Gestão de Sistemas de Informação Médica
on user's opinion and satisfaction
Without any infrastructure investment, it is possible to locate 2 mobile devices and to know if they are close to each other, just by using and treating AP data regarding the connect users.
This will allow our system to interact with the drugs and clinical material consumption Application, to automatically log in or log out the user
Implement our System
on an infirmary
Measure log in times before and after this system implementation, and prove that the log in time decreases
Improve location accuracy by applying more accurate location algorithms (highly dependable of the physical space)
Evaluate user's satisfaction level after this system implementation and compare it to the results of the initial survey
We would like to thank our teachers António Pereira and Catarina Silva for their guidance, expertise and availability which contributed for this investigation and results obtained
Experimentation Used Tools
Alcatel-Lucent IAP 93
Visual Studio 2013 with Visual Basic 2013
Access Point Data (Console)
18 users answered the Questionnaire in 2 days