Advanced Security Mechanisms for Autonomous Systems – MASSA

The purpose of MASSA is to develop new security systems that will enable smart autonomous devices to communicate in a secure manner while maintaining the authenticity, integrity and confidentiality of messages and information exchanged.

The objectives of the project are:

I. Development of a PKI system addressed to intelligent transport systems (C-ITS) in order to authorize the access of vehicles to various V2X communications infrastructure and security services.

The proposed system must cover the functional / safety requirements imposed by the recently issued standards and norms at European level. Within the project we aim to design and develop the system up to the prototype stage.

II. Development of technical components for the extension of the PKI system proposed in the first objective to be compatible with other categories of autonomous systems:

a. Drone like systems. The project aims to find technical solutions to extend the PKI architecture defined at the first objective in order to secure the communication protocols used in drones. The security requirements for drone-specific communication protocols, the security elements proposed by the literature in the field and the degree of their implementation at the level of existing implementations will be investigated.

The possibilities and limitations of using the defined certificate formats for ITS (V2X) communications in the case of communication protocols used by drones will be investigated.

b. Intelligent systems based on IoT sensors currently used in smart home implementations.

The project will analyse the possibilities of adapting the communication protocols specific to these systems and the introduction of a security level based on digital certificates, similar to those proposed for V2X infrastructures, through which interaction with other similar systems or access to specific infrastructure services and applications can be authorized in a controlled manner.

III. Using data science for transport planning and traffic optimization. The following are considered:

a. Identify the optimal ways to place specialized sensors in the infrastructure to identify blockages.

b. Implement vehicle synchronization techniques to achieve a common goal (e.g. traffic optimization).

c. Investigate the possibilities of using methods from decision and social choice theory to obtain a complex and robust automatic traffic management system.

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