Privacy and security in Collaborative Mixed Reality Systems: user permission differentiation in Augmented Alma

The world of extended reality is growing rapidly, and this opens up numerous possibilities for developers. However, just as with traditional application development, security and privacy issues should not be overlooked, even considering the specific and unique risks of devices that enable extended reality. In particular, this thesis will focus on improving and strengthening these aspects within the Augmented Alma collaborative platform, developed at the Virtual and Augmented Reality Lab at the University of Bologna. Features and limitations of this software will be analyzed and then the process by which security and privacy have been strengthened, especially through a new user differentiation system, will be described. Being able to differentiate users through a level of privilege linked to capabilities has proven to be crucial in protecting the privacy and secrecy of communications within collaborative sessions.