BIECO Integrated Platform
Coordinated by
HOLISUN
BIECO Integrated Platform will integrate the tools in a loosely coupled way.
Description
Describe the innovation content of the result:
A loosely coupled platform which can connect various tools and can design and run a flow of these tools. The tools and the flows can be created, added and managed dynamically.
Who will be the customer?
Mainly software developers who want to test their software for security issues, and also developers, penetration testers and cybersecurity companies who want to test their tools.
What benefit will it bring to the customers?
The tools and the run flow can be designed and managed dynamically.
When is the expected date of achievement in the project (Mth/yr)?
August 2023
When is the time to market (Mth/yr)?
August 2023
What are the costs to be incurred after the project and before exploitation?
Hosting costs and probably further developments and maintenance.
What is the approximate price range of this result/price of licences?
Unknown at the moment.
What are the market size in Millions € for this result and relevant trend?
2.5 billion EUR.
How will this result rank against competing products in terms of price/performance?
To our best knowledge, there is no similar platform on the market.
Who are the competitors for this result?
No known competitors.
How fast and in what ways will the competition respond to this result?
Unknown at the moment.
Who are the partners involved in the result?
All partners.
Who are the industrial partners interested in the result (partners, sponsors, etc.)?
HOLISUN, 7Bulls, RESILTECH, TTTech, I-FEVS.
Have you protected or will you protect this result? How? When?
Software tools will be licensed by their respective owners. Joint ownership will be regulated by agreements before the end of the project.
Other results
Vulnerabilities Forecasting Tool
The Vulnerabilities Forecasting Tool (VFT) provides historical vulnerability data and projections for time intervals of 1, 2, 3, 6, and 12 months for several major software components.
Failure Prediction Tool
The Failure Prediction Tool (FPT) performs failure predictions by monitoring the logs of the applications that make up a system. It has a REST interface through which it receives in real time the log messages from the monitored applications.
safeTbox
The pre-existing tool safeTbox (www.safetbox.de) has been extended to support interoperation with the ResilBlockly tool for combined safety and security analysis.
Conditional Safety Certificates for ICT
Conditional Safety Certificates (ConSerts) have been applied to support resiliency of ICT infrastructures. Support for deployment and execution of ConSerts in ICT infrastructure according to use case needs was provided additionally.
SafeML based reliability assessment
In earlier work, a statistical distance-based measure (SafeML) is proposed for machine learning components. In BIECO project, we propose extension of it with the use of Statistical Distance Dissimilarity across time series to obtain SDD based reliability and robustness estimate (StadRE and StadRO).