Log Forgery Blocker

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Log Forgery Blocker – a brand new product on the market.


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

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.

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