Log Forgery Blocker
Coordinated by
7bulls
Log Forgery Blocker – a brand new product on the market.
Description
Describe the innovation content of the result:
New product on the market – Log Forgery Blocker.
Who will be the customer?
The customers are companies which are using any ICT system, which need to achieve the highest level of non repudiability – like financial companies.
What benefit will it bring to the customers?
Log Forger Blocker will store hash codes of files using blockchain technology in a fully non repudiable way.
When is the expected date of achievement in the project (Mth/yr)?
At the end of the project.
When is the time to market (Mth/yr)?
At the end of the project.
What are the costs to be incurred after the project and before exploitation?
It is estimated at 10 – 20 kEUR.
What is the approximate price range of this result/price of licences?
Log Forgery Blocker will be open source, the revenue will be generated by professional services.
What are the market size in Millions € for this result and relevant trend?
Estimated market size – 10 mEUR yearly.
How will this result rank against competing products in terms of price/performance?
Log Forgery Blocker – there is no direct competition for the product.
Who are the competitors for this result?
Log Forgery Blocker – there is no direct competition for the product.
How fast and in what ways will the competition respond to this result?
We are estimating that creating similar solution will take at least one year.
Who are the partners involved in the result?
Log Forgery Blocker – no partnership foreseen.
Who are the industrial partners interested in the result (partners, sponsors, etc.)?
Financial companies which are using ICT systems and require non repudiability.
Have you protected or will you protect this result? How? When?
IP rights for source code are reserved.
Other results
ResilBlockly
This exploitation result consists in cybersecurity consultancy services supported by ResilBlockly (former Blockly4SoS), a Model-Driven Engineering tool that has been developed in the context of BIECO.
Security tools for AI Investments platform
Secured AI Investments platform using the outcome of the BIECO project.
Security evaluation methodology
Security evaluation methodology to evaluate the security of an ICT system. The methodology is based on standards such as ISO 31000 standard for Risk Management, the ISO 29119 standard for Security Testing or the MUD standard…
Extended MUD file
The extended Manufacturer Usage Description (MUD) file is an extension of the MUD Internet Engineering Task Force (IETF) standard…
Monitoring Tool
The monitoring tool is an infrastructure in charge of setting up and managing a monitoring component. It is based on event messages and enables the collection of complex events.
Security Testing Tool
GdpR-based cOmbinatOrial Testing (GROOT) is a general combinatorial strategy for testing systems managing GDPR’s concepts (e.g., Data Subject, Personal Data or Controller).