The introduction of Information and Communications Technologies (ICT) systems into vehicles make them more prone to cyber-security attacks. Such attacks may impact on vehicles capability and, consequently, on the safety of drivers, passengers. Indeed, the strong integration between dedicated ICT devices, the physical environment, and the networking infrastructure, leads to consider modern vehicles as Cyber-Physical Systems.
This workshop aims at providing a forum for researchers and engineers in academia and industry to foster an exchange of research results, experiences, and products in the automotive domain from both a theoretical and practical perspective.
Its ultimate goal is to envision new trends and ideas about aspects of designing, implementing, and evaluating innovative solutions for the Cyber-Physical Systems with a particular focus on the new generation of vehicles.
Indeed, the automotive domain presents several challenges in the fields of vehicular network, Internet of Things, Privacy, as well as, Safety and Security methods and approaches.
The workshop aims at presenting the advancement on the state of art in these fields and spreading their adoption in several scenarios involving main stockholders of the automotive domain.
The list of topics includes (but it is not limited to):
Welcome domains of application are (but may not limited to):
| Submission deadline for paper: | 28/05/2021 |
| Notification of authors: | 30/06/2021 |
| Camera-ready copy due: | 16/07/2021 |
| Workshop: | 07/09/2021 |
The keynote Speaker is Roland Rieke, from Fraunhofer-Gesellschaft, Germany.
Title. Machine-learning methods for in-vehicle intrusion detection
Abstract. The networking of vehicles is essential if the traffic is to be controlled intelligently and the vehicles themselves are to make decisions for automated driving, depending on the situation in the immediate vicinity, but also in the more distant context that cannot be directly perceived by the vehicle. However, connectivity opens up new possibilities for attackers to remotely access safety-critical vehicle subsystems.
In this talk, various methods are presented with which the activities of an attacker who already has access to a subsystem in a vehicle can be detected. An overview of weak points is given and the current state of the art with regard to various detection methods is presented. In particular, various model-based methods of machine learning are analyzed with regard to their applicability for the detection of malicious messages in vehicles. Available data sets, test setup and results from experiments with different simulated attacks are presented.
In particular, we used process mining, support vector machines, artificial neural networks, genetic programming, and rule-based systems and combinations thereof.
Finally, model-based detection of anomalies is considered in a holistic framework for the management of security strategies.
STRIVE has been combined with the 1st Workshop on Secure and Reliable Communication and Navigation in the Aerospace Domain (SRCNAS). The result is a combined workshop session Safety vs Security in the Air and on the Ground that starts at 13:00 p.m. including 2 keynotes from industry and 5 accepted paper presentations, closing with a panel discussion by the keynote speakers and the presenters. Here are more details:
Submitted papers must be written in English and must contain results that have not previously published nor concurrently submitted to a journal or conference with published proceedings. Submissions, as pdf files, must not exceed 6 pages of text (excluding references). Reviewers are explicitly not expected to read the appendices while deciding whether to accept or reject the paper. Papers must be typeset in LaTeX in A4 format (not “US Letter”) using the IEEE EuroS&P conference proceeding template and must follow the guidelines of the main conference. Papers must be submitted electronically through EasyChair. Accepted papers will be published through IEEE Xplore in a volume accompanying the main IEEE EuroS&P 2021 proceedings. It is required that each accepted paper be presented at the workshop by one of its authors.
For any question, please contact the strive2021@iit.cnr.it.