BIECO
The general objective of BIECO is to develop a framework that enables measurable, risk-based trust while developing, deploying and operating complex interconnected ICT systems.
Objectives
We aim to achieve this by handling the reliability and trust aspects of ecosystem participants (ICT systems, ICT system components and actors) within the supply chain.
The following shows the specific SMART (Specific, Measurable, Achievable, Realistic, Time-bound) objectives of the project, taking into account the challenges of this kind of complex ecosystems.
Framework
Providing a framework that allows reinforcing trust in ICT supply chains (WP2).
Vulnerability assessment
Performing advanced vulnerability assessment over ICT supply chains (WP3).
Achieving resilience
Achieving resilience in ecosystems formed by unreliable components (WP4).
Extending auditing
Extending auditing process to evaluate interconnected ICT systems (WP5).
Advanced risk analysis
Provide advanced risk analysis and mitigation strategies that support a view of the complete ICT supply chain (WP6).
Security assurance
Perform evidence-based security assurance and a harmonized certification for ICT systems (WP7).
Industrial validation
Industrial validation of BIECO’s framework within IoT ecosystems (WP8).
Exploitable Results
No Results Found
The page you requested could not be found. Try refining your search, or use the navigation above to locate the post.
About BIECO
The rationale behind BIECO’s concept is to deliver a framework for improving trust and security within ICT supply chains. These are complex ecosystems comprising several heterogeneous technologies, processes, actors (e.g., end-users, software or hardware providers and organizations) and resources, all of which generate or exchange data forming extremely complex information management systems.
The BIECO team is proud to announce
NEWS
SafeML based reliability assessment
SafeML based reliability assessmentCoordinated byIESEIn 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...
BIECO, un approccio olistico alla cybersecurity
Newspaper article 1 - Download
Newsletter three
Newsletter 3Download
Newsletter two
Newsletter 2Download
Newsletter one
Newsletter 1Download
BIECO Brochure
Download
Consortium
