WP5 – Methods and Tools for Auditing complex systems

 Coordinated by
 CNR (M04-M30)

Objective

This work package will focus on the development of techniques, methods and tools supporting the audit activity in the BIECO framework. Auditing includes retrieval of data from the field, such as data regarding the usage mode of an ICT system subject to runtime adaptation through the delivery of software updates. The main goal is to provide ecosystem trustworthiness’s evaluation leveraging executable simulation environments and runtime monitoring facilities. The monitoring results aim to provide useful feedback for setting up the simulation environment.

This work package has the following objectives:

  1. Definition of the executable simulation models and of the parameters against which the behavior of the ICT systems and their interacting actors within an ecosystem is judged as being trustworthy or not.
  2. Definition of monitoring methodologies and tools detecting malicious behaviors of ICT systems and interacting actors within the ecosystems and assessing the validity of the simulation models.
  3. Developing monitoring tools able to validate through real-time data of systems sensors and actuators the validity of simulation decisions.

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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