Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

A.A. 2020/2021

Academic calendar

The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
I semestre Oct 1, 2020 Jan 29, 2021
II semestre Mar 1, 2021 Jun 11, 2021
Exam sessions
Session From To
Sessione invernale d'esame Feb 1, 2021 Feb 26, 2021
Sessione estiva d'esame Jun 14, 2021 Jul 30, 2021
Sessione autunnale d'esame Sep 1, 2021 Sep 30, 2021
Degree sessions
Session From To
Sessione Estiva Jul 15, 2021 Jul 15, 2021
Sessione Autunnale Oct 15, 2021 Oct 15, 2021
Sessione Invernale Mar 15, 2022 Mar 15, 2022
Holidays
Period From To
Festa dell'Immacolata Dec 8, 2020 Dec 8, 2020
Vacanze Natalizie Dec 24, 2020 Jan 3, 2021
Epifania Jan 6, 2021 Jan 6, 2021
Vacanze Pasquali Apr 2, 2021 Apr 5, 2021
Santo Patrono May 21, 2021 May 21, 2021
Festa della Repubblica Jun 2, 2021 Jun 2, 2021

Exam calendar

Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.

Exam calendar

Should you have any doubts or questions, please check the Enrolment FAQs

Academic staff

B C D F G M O P R S V

Baruffi Maria Caterina

mariacaterina.baruffi@univr.it

Belussi Alberto

alberto.belussi@univr.it +39 045 802 7980

Bombieri Nicola

nicola.bombieri@univr.it +39 045 802 7094

Bonacina Maria Paola

mariapaola.bonacina@univr.it +39 045 802 7046

Busato Federico

federico.busato@univr.it

Calanca Andrea

andrea.calanca@univr.it +39 045 802 7847

Carra Damiano

damiano.carra@univr.it +39 045 802 7059

Castellani Umberto

umberto.castellani@univr.it +39 045 802 7988

Ceccato Mariano

mariano.ceccato@univr.it

Cicalese Ferdinando

ferdinando.cicalese@univr.it +39 045 802 7969

Cristani Matteo

matteo.cristani@univr.it 045 802 7983

Cristani Marco

marco.cristani@univr.it +39 045 802 7841

Cubico Serena

serena.cubico@univr.it 045 802 8132

Dalla Preda Mila

mila.dallapreda@univr.it

Di Pierro Alessandra

alessandra.dipierro@univr.it +39 045 802 7971

Farinelli Alessandro

alessandro.farinelli@univr.it +39 045 802 7842

Favretto Giuseppe

giuseppe.favretto@univr.it +39 045 802 8749 - 8748

Fiorini Paolo

paolo.fiorini@univr.it 045 802 7963

Franco Giuditta

giuditta.franco@univr.it +39 045 802 7045

Fummi Franco

franco.fummi@univr.it 045 802 7994

Giachetti Andrea

andrea.giachetti@univr.it +39 045 8027998

Giacobazzi Roberto

roberto.giacobazzi@univr.it +39 045 802 7995

Maris Bogdan Mihai

bogdan.maris@univr.it +39 045 802 7074

Masini Andrea

andrea.masini@univr.it 045 802 7922

Mastroeni Isabella

isabella.mastroeni@univr.it +39 045 802 7089

Menegaz Gloria

gloria.menegaz@univr.it +39 045 802 7024

Merro Massimo

massimo.merro@univr.it 045 802 7992

Muradore Riccardo

riccardo.muradore@univr.it +39 045 802 7835

Oliboni Barbara

barbara.oliboni@univr.it +39 045 802 7077

Paci Federica Maria Francesca

federicamariafrancesca.paci@univr.it +39 045 802 7909

Posenato Roberto

roberto.posenato@univr.it +39 045 802 7967

Pravadelli Graziano

graziano.pravadelli@univr.it +39 045 802 7081

Rizzi Romeo

romeo.rizzi@univr.it +39 045 8027088

Romeo Alessandro

alessandro.romeo@univr.it +39 045 802 7974-7936; Lab: +39 045 802 7808

Sala Pietro

pietro.sala@univr.it 0458027850

Segala Roberto

roberto.segala@univr.it 045 802 7997

Spoto Nicola Fausto

fausto.spoto@univr.it +39 045 8027940

Villa Tiziano

tiziano.villa@univr.it +39 045 802 7034

Study Plan

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University. Please select your Study Plan based on your enrolment year.

CURRICULUM TIPO:
ModulesCreditsTAFSSD
Final exam
24
E
-

1° Year

2° Year

ModulesCreditsTAFSSD
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Between the years: 1°- 2°
Between the years: 1°- 2°2 modules among the following
6
B
(INF/01)
6
B
(INF/01)
6
B
(INF/01)
6
B
(INF/01)
6
B
(INF/01)
6
B
(INF/01)
Between the years: 1°- 2°3 modules among the following
6
C
(INF/01)
6
C
(INF/01)
6
C
(INF/01)
6
C
(INF/01)
6
C
(INF/01)
6
C
(SECS-P/10)
6
C
(INF/01)
Between the years: 1°- 2°
English language B2 level
3
F
-
Between the years: 1°- 2°
Between the years: 1°- 2°
Other activities
3
F
-

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S008904

Credits

6

Coordinatore

Massimo Merro

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Language

Italian

The teaching is organized as follows:

Teoria

Credits

5

Period

II semestre

Academic staff

Massimo Merro

Laboratorio

Credits

1

Period

II semestre

Academic staff

Massimo Merro

Learning outcomes

The course aims to present the main methodologies and technologies to ensure the security of computer networks and, more generally, distributed information systems. At the end of the course, the student must demonstrate to be able to know the main theoretical and applicative notions for the design, the practical implementation and the formal analysis of tools and protocols for the security of distributed networks and distributed information systems. This knowledge will allow the student to compare different techniques of network protection and choose between them the most appropriate according to the context of use and to make the most appropriate design choices when defining a new computer network. The student will then be able to continue his/her studies in the field of network security and distributed information system in autonomy, studying autonomously and presenting in clear way new vulnerabilities in computer networks and the related solutions adopted to mitigate their effects

Program

Frontal Teaching (44 hours)
- Introduction to Information Security
- Classical Security Properties (Confidentiality, Integrity, Availability, Accountability, Authentication)
- Goals, risks, attacks
- Symmetric and asymmetric key cryptography
- The problem of the distribution of secret keys
- Integrity of messages and message authentication
- Trust certificates and templates
- Public Key Infrastructure
- Public Key Infrastructure Study Cases (X.509, PGP)
- Classic cryptographic protocols for key exchange
- Taxonomy of attacks for classic cryptographic protocols
- Techniques for designing correct cryptographic protocols
- Network security protocols at different levels
- Case Studies (Kerberos, Security Socket Layer SSL, Internet Key Exchange IKE, IP Security IPSec)
- Privacy and anonymity
- Anonymity policies, technical problems, implementation mechanisms (pseudonyms and proxies)
- Case Studies (Mix Networks, Crowds, Onions networks, TOR)
- Firewalls (packet filter, stateful, application level, circuit level)
- Intruders and Intrusion Detection Systems.

Laboratory (12 hours):

--Network Traffic Analysis:
* Most commonly used firewall filtering systems. Introduction to Netcat, Wireshark, and tcpdump.
* Writing a port scanner in Python. Hints on the nmap tool.
* Physical Addresses and ARP Protocol, ARP Tables, and ARP spoofing attacks. The concept of ARP poisoning. The Ettercap tool. Attachment detection methods based on spoofing and risk mitigation.
* Hints on String Strips HTTP.Tool SSLStrip and Bettercap Headers.
* Network layer limits as a defense tool for attacks at the application level.

- Anomalies detected in network traffic:
* Log Logging for Attack Detection. Hints about how IPS and Intrusion Prevention Systems (IPSs) and Intrusion Detection Systems (IDSs) are configured based on logs.
* Typical network layer configuration errors and consequent higher-level risks. The major vulnerabilities of web based networking (A5: security misconfiguration, A6: sensitive data exposure), theft of authentication credentials, session tokens, and sensitive information in general. Examples using ARP poisoning techniques.
* The Linux Netfilter firewall: default functionality and operating modes, tables, chains, rules, targets, and policies. QoS (Quality of Service) hints and use for connections that require special latency guarantees. Hints on how to optimize filtering rules to help them work.
* Netfilter extensions for connection status (new, established, related, and invalid), address types (unspec, local prohibit, unicast, broadcast), comments, limitations and burst concepts, filters At the MAC address level, using firewall to mitigate ARP spoofing attacks.

- Checking network and IDS filtering configurations:
* Designing an IDS system. Example of activating IDS for a web infrastructure. IPS system implementation for brute force attacks on ftp credentials and port scanning. IPS prototype writing through the iptables firewall and the Linux shell. IPS OSSEC.
* Case study: SYN flood type (half-open-attack) attacks and impaction mitigation methods: limiting the absorbed resources of the attack by means of network tools.
* Security effectiveness considerations through progressive network closures.
* Comparison of Netfilter firewalls with ASA of CISCO (hints) and PF (BSD systems).
* PfSense (community edition) firewall wizard.
* Connecting, port forwarding, and filing rules provided by the OpenWRT firewall for embedded systems.

Examination Methods

Examination consists of:
- an oral examination on the topics dealt with during frontal lessons;
- a project on subject related to the lab.

The final vote comes from the average of the evaluations obtained in the oral test and in the discussion of the project.

Bibliografia

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Teoria William Stallings Network Security Essentials: Applications and Standards (6th Edition) (Edizione 6) Prentice Hall 2017 ISBN-10: 013452733X

Type D and Type F activities

Le attività formative in ambito D o F comprendono gli insegnamenti impartiti presso l'Università di Verona o periodi di stage/tirocinio professionale.
Nella scelta delle attività di tipo D, gli studenti dovranno tener presente che in sede di approvazione si terrà conto della coerenza delle loro scelte con il progetto formativo del loro piano di studio e dell'adeguatezza delle motivazioni eventualmente fornite.

 

I semestre From 10/1/20 To 1/29/21
years Modules TAF Teacher
1° 2° Matlab-Simulink programming D Bogdan Mihai Maris (Coordinatore)
1° 2° Programming Challanges D Romeo Rizzi (Coordinatore)
II semestre From 3/1/21 To 6/11/21
years Modules TAF Teacher
1° 2° Introduction to 3D printing D Franco Fummi (Coordinatore)
1° 2° Python programming language D Vittoria Cozza (Coordinatore)
1° 2° HW components design on FPGA D Franco Fummi (Coordinatore)
1° 2° Rapid prototyping on Arduino D Franco Fummi (Coordinatore)
1° 2° Protection of intangible assets (SW and invention)between industrial law and copyright D Roberto Giacobazzi (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
1° 2° The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinatore)
1° 2° The course provides an introduction to blockchain technology. It focuses on the technology behind Bitcoin, Ethereum, Tendermint and Hotmoka. D Nicola Fausto Spoto (Coordinatore)

Career prospects


Module/Programme news

News for students

There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.

Gestione carriere


Graduation

List of theses and work experience proposals

theses proposals Research area
Analisi ed identificazione automatica del tono/volume della voce AI, Robotics & Automatic Control - AI, Robotics & Automatic Control
Analisi e percezione dei segnali biometrici per l'interazione con robot AI, Robotics & Automatic Control - AI, Robotics & Automatic Control
Integrazione del simulatore del robot Nao con Oculus Rift AI, Robotics & Automatic Control - AI, Robotics & Automatic Control
BS or MS theses in automated reasoning Computing Methodologies - ARTIFICIAL INTELLIGENCE
Sviluppo sistemi di scansione 3D Computing Methodologies - COMPUTER GRAPHICS
Sviluppo sistemi di scansione 3D Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION
Dati geografici Information Systems - INFORMATION SYSTEMS APPLICATIONS
Analisi ed identificazione automatica del tono/volume della voce Robotics - Robotics
Analisi e percezione dei segnali biometrici per l'interazione con robot Robotics - Robotics
Integrazione del simulatore del robot Nao con Oculus Rift Robotics - Robotics
BS or MS theses in automated reasoning Theory of computation - Logic
BS or MS theses in automated reasoning Theory of computation - Semantics and reasoning
Proposte di tesi/collaborazione/stage in Intelligenza Artificiale Applicata Various topics
Proposte di Tesi/Stage/Progetto nell'ambito delle basi di dati/sistemi informativi Various topics

Attendance

As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.

Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.