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Nowadays, Cooperative Intelligent Transport Systems (C-ITS) are not fiction anymore. Prototypes of self-driving vehicles are flourishing everywhere, e.g. Google driverless car. These new generation vehicles are not only intelligent as they do not need human intervention during cruise, but they also communicate together creating a cooperative network. However, C-ITS are becoming the prey of hackers and the target of cyberattacks. Consequently, a reliable risk analysis method needs to be defined to prevent C-ITS threats and to assess their vulnerabilities. In this paper, we define a simple and efficient risk analysis method called RACE. We compare it to two of main risk analysis methods, namely TVRA and EVITA.

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Cooperative Intelligent Transport Systems (C-ITS) offer innovative ways of wireless communication between Intelligent Transport Systems (ITS) stations and ITS road-side stations. They favour the development of ITS applications to improve traffic management, road safety, mobility and other comfort services. C-ITS systems have to guarantee communication security, especially in heterogeneous network environments. Safety critical applications require authentication to avoid attackers to send spoofed or reforged information, nevertheless, cars and drivers privacy must be maintained. We present a demonstration of the C-ITS security management infrastructure of the ITS-Security (ISE) project [1]. Throught our demonstrator we show how ISE provides message authentication without violating cars and drivers privacy. Our demonstrator allows the public to run an attack scenario with and without the ISE security system, making evident importance of securing ITS communications.

Value of companies from startups to large companies are often the center of discussions at a top management level. Indicators that are influencing this value are more or less obvious, but which one has the greatest impact and how to value it? Because EBITDA is related to the enterprise value according to the EBITDA multiple valuation, it will be at the center of this research. We will try to determine a relationship between the EBITDA performance and diverse company criteria through a regression analysis. Also, the variables used in the model are voluntarly easily accessible and not too complex in order that even non-professional analyst could used it. Then, based on the EBITDA multiples theory, investors would be able to valuate and compare the best investment they could make.