WP3 – Vulnerabilities Management

 Coordinated by
GRAD (M01-M30)

Objective

This work package has the following objectives:

  1. Analyze the state of the art to incorporate the latest advances in detection, forecasting and propagation of vulnerabilities
  2. Compile a representative dataset of software vulnerabilities, taking into account the data provided by BIECO’s use cases as well as from other public sources, and select the most representative features for an effective vulnerability detection process.
  3. Provide advanced tools to detect and forecast accurately vulnerabilities in ICT systems and components.
  4. Provide an advanced tool to analyze the propagation of vulnerabilities across the ICT supply chain.

Deliverables

Outcomes

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).

BIECO Project

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