MASTER Assignment
Authentication Method for Windows OS based on Location Classification using WiFi Signals
Type : Master M-CS
Period: Aug, 2022 - Jan, 2023
Student : Cireşică, V.V. (Victor, Student M-CS)
Date Final project: Jan 30, 2023
Supervisors:
Abstract:
In an ever evolving digital world authentication is an essential procedure in the day-today activities which involve interacting with digital systems. It is a basic and crucial part of the security of a system, as it is the requirement for two parties to assure the identity of the other. Its apparatus is continuously increasing in complexity to keep the systems secure against evolving adversaries. Multi-factor authentication systems have been widely adopted in recent years to increase the security of the systems in terms of assurance of authenticity. This led to the research and development of numerous authentication methods. In this wealth of authentication methods, conditions of the user, like location, stand out as a candidate for further research and development. They have the advantage of being intrinsically nonintrusive(i.e. do not require user input). In this paper we extend an existing scheme which describes the use of WiFi for location based authentication. This classifies WiFi signal measurements to be on location or off location, in a privacy preserving manner. Our work focuses on adapting this authentication method to the predominantly used operating system Windows.