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).
Describe the innovation content of the result:
GROOT tool is leveraging Combinatorial Testing for assessing mechanisms and tool processing Personal Data with respect to the GDPR’s demands.
Who will be the customer?
Public and private Companies using ICT systems and authorization systems for managing protected resources and personal data.
What benefit will it bring to the customers?
A data protection by design solution for improving the compliance with the currently applicable legal framework concerning the protection of personal data.
When is the expected date of achievement in the project (Mth/yr)?
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?
After finishing BIECO, GROOT will be ready for use without further investment. However, further research, based on it, will need to be framed on other innovation projects..
What is the approximate price range of this result/price of licences?
What are the market size in Millions € for this result and relevant trend?
According to recent survey, the GDPR Services market was valued at € 1042.97 million in 2020 and is expected to reach € 3846.12 million by 2026
How will this result rank against competing products in terms of price/performance?
We have applied data protection by design and by default approach, by incorporating GDPR concepts at the early stage of developing GROOT, differentiating this result from the existing security solutions.
Who are the competitors for this result?
Other security testing tools based on combinatorial approaches.
How fast and in what ways will the competition respond to this result?
Incorporating GDPR concepts into existing methodologies and tools is not a straightforward task. We estimate that pairing security and privacy in a unique framework takes at least one year.
Who are the partners involved in the result?
Who are the industrial partners interested in the result (partners, sponsors, etc.)?
Unknown at the moment
Have you protected or will you protect this result? How? When?
GROOT has been presented at ICTSS7 2021, and the first related research contribution8 will be available soon. We are planning to prepare an extended contribution for a journal article by the end of the project.
BIECO Integrated Platform will integrate the tools in a loosely coupled way.
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 will detect existing vulnerabilities within the source code which may lead to the successful execution of an attack.
Vulnerability Exploitability Forecasting Tool will estimate the probability of a vulnerability to be exploited in the next 3, 6 or 12 months.
Vulnerability Propagation Tool will calculate and offer the paths affected by a vulnerability in the source code.
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.