An intrusion detection framework for non-expert users

The wide spreading of the Internet and its integration in everyday objects lead to the born of a whole interconnected world, based on different devices communicating each other and performing operation remotely activated. Among all these devices, smart voice assistants are gaining particular attention thanks to their ease of use, allowing users to comfortably deploy commands for controlling other devices. The wide diffusion of these devices and their simplicity of use lead to that category of users with little or no knowledge, to interact with complex systems without being perfectly aware of the risks they are exposed to. For this reason, the common network defenses and monitoring systems are too complex to be used by non-expert users. This paper presents a framework for intrusion detection specifically designed to be configurable and usable by every category of users. The system will be based on specific automatic behaviors so as to minimize human intervention. Moreover, it will include several visual interfaces aiming to simplify the user interaction with the framework, allowing him/her to properly configure and run an Intrusion Detection System (IDS). The use of voice assistants as a communication channel between the user and the system will provide an additional contribution in order to improve the overall user experience.