Please check the website of the latest edition of the course at this link.
Old website content.
Exam Dates: see https://cybersecurity.uniroma1.it/exams and this link
12/01/2022. 9:30-12:00 Written Exam Aula G50 RM115;
15/02/2022. 9:30-12:00 Written Exam Aula G50 RM115.
09/09/2021 - time: 15.00-18.00. Written exam. aula G50 - Regina Elena Edificio G - RM115 Viale Regina Elena 295. In presence exam (can be done remotely only for valid reasons - see instructions below).
7 July- 09:30-13:30, in presence exam (can be done remotely only for valid reasons - see instructions below).
9 June - 09:30-13:30, in presence exam (can be done remotely only for valid reasons - see instructions below).
Procedure for the written exam:
According to the decisions of the Senato Accademico, the standard modality for the written exam will be in presence. See the instructions at:
- https://corsidilaurea.uniroma1.it/it/corso/2020/29389/news-avvisi
Further info:
- https://www.uniroma1.it/it/notizia/covid-19-fase-3-lezioni-esami-e-lauree-presenza-e-distanza
- https://www.uniroma1.it/sites/default/files/field_file_allegati/10.1_del._100_didattica.pdf
As explained in the links above, if valid reasons apply (please see first link above and complete the form there), you can take the exam remotely. In this case, the written exam is held online through the platform Exam.net. Please read carefully the instructions at this page: https://www.uniroma1.it/it/documento/procedura-straordinaria-conseguente-allemergenza-sanitaria-covid-19-lo-svolgimento-degli
Location for written exam:
Room: G0
Building: Regina Elena Edificio G
Code of Building: RM115
Address: Viale Regina Elena 295. Link to Google Maps
Note: https://www.uniroma1.it/it/pagina/mappa-della-citta-universitaria
No books, slides, notes, etc. can be used by the student during the exam.
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General info
Academic year: 2020/2021
Semester: Second semester
SSD: ING-INF/04
CFU: 6
Course page in the catalogue of courses: link
Course overview
General objectives
The course aims at providing basic concepts and methodologies of control theory, operations research and game theory, which constitute an analytical framework for the modeling of cyber-physical systems and of the main types of attacks on cyber-physical systems (for example: "denial of service", " replay attack "," covert attack "," false data injection ") and for the solution of security games and decision problems. The course will summarize a number of such methodologies and show how their application is able to deal with cyber-physical security problems in numerous example use cases.
Specific objectives
Knowledge and understanding:
The students will learn methodologies for to model and solve security problems in cyber-physical systems by using control theory, game theory and operations research methodologies.
Apply knowledge and understanding:
At the end of the course, the student will be able to derive abstract mathematical models for a wide class of cyber-physical systems, to analyze, starting from these models, some important properties concerning their security.
Critical and judgment skills:
The student will be able to to face cybersecurity problems through control theory, game theory and operations research methodologies.
Communication skills:
The course activities allow the student to be able to communicate / share the main problems concerning cybersecurity problems in cyber-physical systems and the possible design choices for their soultions.
Learning ability:
The aim of the course is to make students aware on how to deal with control and decision-making problems in the context of cybersecurity problems in cyber-physical systems.
Instructor: Francesco Liberati
About me
I am research fellow in Automatic Control at the Sapienza University of Rome, currently working mainly on cyber-physical systems and control problems in smart grids.
I obtained my PhD in Systems Engineering from Sapienza University, with a dissertation over recent control problems in the area of energy management in smart grids.
From May 2017 to December 2018 I was H2020 energy research project manager at "The Innovation and Networks Executive Agency (INEA)", European Commission, Brussels, where I managed a portfolio of large energy and smart cities H2020 research projects.
Previously, I have carried out applied research in several european funded projects, in which I took project management roles as team leader, work package leader, task leader.
Research interests
Automatic control, currently with a focus on optimal control and (economic) model predictive control;
Cyber-physical systems;
Control problems in smart grids and smart cities.
Link to website: https://sites.google.com/diag.uniroma1.it/liberati/