Fail-operation clock synchronization methodology

 Coordinated by
TTTech

Synchronization loss can occur due to many reasons, either because of a device or link failure or due to a targeted attack on the reference node, which supplies the corrected time to the network’s nodes.

Description

Describe the innovation content of the result:
Synchronization loss can occur due to many reasons, either because of a device or link failure or due to a targeted attack on the reference node, which supplies the corrected time to the network’s nodes.
Who will be the customer?
OEMs, Tir1, Tire2
What benefit will it bring to the customers?
enhanced robustness of the system
When is the expected date of achievement in the project (Mth/yr)?
At the end of the project, we will have a prototype
When is the time to market (Mth/yr)?
2-3 years after the project end
What are the costs to be incurred after the project and before exploitation?
N/A
What is the approximate price range of this result/price of licences?
The plan is to integrate the methodology in our product line for the middleware and Electronic Control Unit (ECU) controller and keep sell it as integration package.
What are the market size in Millions € for this result and relevant trend?
N/A
How will this result rank against competing products in terms of price/performance?
We follow the standard that has been accepted by our customer. We are planning to extend the BIECO results and integrate it in the different product line.
Who are the competitors for this result?
Other security and test provider
How fast and in what ways will the competition respond to this result?
We are estimating that creating similar solution will take at least three years.
Who are the partners involved in the result?
TTTech
Who are the industrial partners interested in the result (partners, sponsors, etc.)?
N/A.
Have you protected or will you protect this result? How? When?
Research publications are provided along the way of the concept development and its validation.

Other results

Data Collection Tool

Data Collection Tool (DCT) stores information from relevant vulnerability related datasets, providing a single access point to information required by the vulnerability detection and forecasting tools developed in T3.3, as well as for the failure prediction tools developed in T4.2.

Vulnerability Detection Tool

Vulnerability Detection Tool will detect existing vulnerabilities within the source code which may lead to the successful execution of an attack.

Fuzzing Tool

Fuzzing Tool will test System Under Test (SUT) security vulnerabilities or inputs not contemplated that could compromise the system; as a black-box process, by using unintended or incorrect inputs and monitoring their corresponding outputs.

BIECO Project

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