Hours:
16 hours (4 credits)

Room:

Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa - Ground Floor

To register to the course, click here

Short Abstract:

Intelligent monitoring systems can effectively predict or detect anomalies and issues in smart working systems and ecosystems and implement the proper countermeasures.
In their effective and efficient use, attributes like responsiveness, performance, quality and trustworthiness should be appropriately tested and assessed before integrating the monitoring system into an ecosystem.
At the same time, predicting security and trust vulnerabilities is crucial for IoT interconnected systems and ecosystems, especially when integrating new, third-party, or open-source components.
The proposed course will overview the challenges and primary functional and non-functional properties assessment methodologies. It will also provide guidelines for successful monitoring and testing activities and illustrate the commonly adopted tools and techniques. An introduction to Complex Event Processing technologies will also offered.

Course Contents in brief:

1. Event-Driven monitoring concepts
   1. pros/cons
   2. event
   3. rules
   4. sources and probes

2. Introduction of functional and non-functional properties

   1. Property definition and selection

   2. Who should be involved?

3. Monitoring of complex systems

   1. Representing the behavioral model

   2.  Business Processes (BPMN) for monitoring industrial systems

   3.  Instrumentation of a system

   4.  Data acquisition and timing

   5.  Analysis and Vulnerability detection

4. Knowledge representation and management

   1. Using Ontologies

   2.  Using Generative AI

   3.  Complex Event Processing language

5. Monitoring for Cybersecurity

   1. Integrating access control

   2.  Malicious behavior detection

   3.  Mitigation strategies

   4.  pros and cons

6. Intelligent predictions and predictive failure detection

   1. Exploiting Digital Twin

   2.  Exploiting failure detection model

   3.  Exploiting AI

   4.  Prediction and time constraints

7. Assessing monitoring systems

   1. Main testing approaches

   2.  Testbed definition

   3.  Performance evaluation

Schedule:

1. April 1, 2025 – 09:00-12:00→Monitor basic concepts and functional and non-functional properties
2. April 3, 2025 – 09:00-12:00 → Monitoring of complex systems
3. April 7, 2025 – 14:00-17:00 → Knowledge representation and management
4. April 8, 2025 – 09:00-12:00 → Monitoring for Cybersecurity  and smart predictions
5. April 10, 2025 – 09:00-13:00 → Monitoring the monitoring system and Practical examples.