Safety and security co-analysis in transport systems: Current state and regulatory development

Transportation is sensitive to risk. Given the fast development of digitalisation and automation of transport systems in the past decade, new types of security risks (e.g. cyberattacks) emerge within the context of transport safety research. To enable the integrated analysis of emerging security and classical safety-related risks in a holistic manner, safety and security co-analysis (SSCA) is highly demanded for accident prevention. SSCA in transport systems will benefit the risk analysis of complex cyber physical transport systems facing challenges from both hazards and threats. However, the nature of hazard and threat-based risks is fundamentally different, which leads to the various difficulties of analysing them on the same plane. They include the use of different risk parameters, the uncertainty levels of the risk input and the methodologies of risk inference. To address such concerns, this study firstly reviews the literature on SSCA and compares the employed methodologies and their applications within the context of transport systems. Taking into account the advantages of both security-driven and safety-oriented methods, a conceptual framework is proposed to imply the insights on SSCA for transportation through both top-down and bottom-up perspectives, followed by a quantitative illustrative case study. Then, the regulatory development and evolution of SSCA in transport in practice is analysed across different transport modes, which configures initiatives’ interrelations for a cross-fertilisation purpose. As a result, the findings reveal new research directions for the safety of digitalised and/or autonomous transport vehicles and aid in the formation of future transport safety study agendas

Adaptive security provisioning for vehicular safety applications

International audienceVehicular ad hoc network provides safety applications for next generation intelligent transport systems. By periodically transmitting mobility information in basic safety messages (BSMs), vehicles get an overview of the neighborhood. As applications involving vehicular networks impact human safety, reliability of BSMs is a key requirement, which however is a challenging task in heavy traffic scenarios where many BSMs are queued up simultaneously for signature verification. This results in long verification delays for many critical BSMs from nearby vehicles. To overcome this challenge, we propose two adaptive security mechanisms in this paper that can be used by the ITS applications to enhance their QoS and maintain good level of security. The first technique is a receiver-oriented technique that uses channel aware mechanism to prioritize the signature verification of BSMs from closer neighbors. The second technique is transmitter based that can adaptively select the best security level for BSMs according to cryptographic loss rate. Simulation results verify the performance enhancement achieved by the proposed framework in terms of several safety awareness metrics as compared with the existing schemes. for efficient communications in mobile ad hoc networks, protocol design for emerging wireless technologies. Wassim Znaidi is a Senior R&D engineer at QMIC (formerly QUWIC). He holds a Ph.D (2010) from INSA Lyon France, a M.S. (2007) from University Grenoble Alpes France and a Dipl.-Ing (2006) from Polytechnic School Tunisia. His research interest include protocols design for network security, efficient algorithm for resilient embedded systems and internet of things. This paper is a revised and expanded version of a paper entitled

Adaptive security provisioning for vehicular safety applications

International audienceVehicular ad hoc network provides safety applications for next generation intelligent transport systems. By periodically transmitting mobility information in basic safety messages (BSMs), vehicles get an overview of the neighborhood. As applications involving vehicular networks impact human safety, reliability of BSMs is a key requirement, which however is a challenging task in heavy traffic scenarios where many BSMs are queued up simultaneously for signature verification. This results in long verification delays for many critical BSMs from nearby vehicles. To overcome this challenge, we propose two adaptive security mechanisms in this paper that can be used by the ITS applications to enhance their QoS and maintain good level of security. The first technique is a receiver-oriented technique that uses channel aware mechanism to prioritize the signature verification of BSMs from closer neighbors. The second technique is transmitter based that can adaptively select the best security level for BSMs according to cryptographic loss rate. Simulation results verify the performance enhancement achieved by the proposed framework in terms of several safety awareness metrics as compared with the existing schemes. for efficient communications in mobile ad hoc networks, protocol design for emerging wireless technologies. Wassim Znaidi is a Senior R&D engineer at QMIC (formerly QUWIC). He holds a Ph.D (2010) from INSA Lyon France, a M.S. (2007) from University Grenoble Alpes France and a Dipl.-Ing (2006) from Polytechnic School Tunisia. His research interest include protocols design for network security, efficient algorithm for resilient embedded systems and internet of things. This paper is a revised and expanded version of a paper entitled