Privacy Preservation in a Decentralized Calendar System
Abstract
Privacy perservation, in terms of sensitive data access and management, is an important feature of decentralized calendar systems. Indeed, when users delegate their sensitive data such as timetables to an autonomous agent, this one executes many automatic data processing without their intervention: users lost a part of their data control. To tackle this problem, we propose in this article to extend a concrete application of calendars management multi-agent system by implementing a specific protocol for sensitive data transactions that represents the first step of privacy preservation in multi-agent systems.