The course, taught in English in the second semester of the first year of the Master of Science in Cybersecurity, is the second module of the annual course "Networks, cloud and application security", mandatory for all tracks. The course delves into the essential approaches, methodologies, and technologies related to the security of traditional and modern computer networks and cloud environments.

Students will build up knowledge (at a different level of depth based on the topic), skills and a deep understanding of mechanisms and motivations underlying the following technologies and solutions: - Different attacks against traditional network systems and protocols; - Design common network defenses and filtering solutions; - Traffic analysis to discover security problems; - Virtual Private Network and channel protection mechanisms and technologies; - Security and privacy topics in cloud computing services; - Security issues in next-generation computer networks.

Knowledge about computer networks and cloud systems as obtained in a bachelor's degree (Laurea) in computer engineering and the first module of the course "Computer networks and cloud technologies". Knowledge about fundamental aspects of cybersecurity as provided by the courses "Information System Security", such as security definitions and properties, the main category of attacks (e.g., sniffing, spoofing, DOS), basic terminology of network security (secure communication, firewall, IDS, IPS).

- Advanced analysis of network attacks at different layers of the ISO/OSI stack (1 CFU) - Network security monitoring (0.5CFU) - Basis of network incident response and event management (0.3CFU) - Network defenses and filtering solutions: (1.2CFU); - Virtual Private Network (IPsec VPN, TLS VPN) and channel protection (1.2CFU) - Cloud Computer Security: (1.5 CFU) - Security issues to Software Defined Networking and Network Functions Virtualization (0,3 CFU)

The course consists mainly of classroom lectures. These are complemented by supervised classroom exercise sessions in which students can apply the concepts learned during the lectures to realistic use cases and discuss them with the instructor. Finally, for a subset of the topics, the course includes lab sessions to help retain the concepts learned during the lectures by observing the related technologies in action. Specifically, the course is structured into lectures in the classroom for 4.8 credits and laboratories for 1.2 credits.

The teachers will provide the material (copy of slides and links to online resources) on the course website.

Slides; Dispense; Libro di testo; Esercitazioni di laboratorio; Video lezioni dell’anno corrente;

E' possibile sostenere l’esame in anticipo rispetto all’acquisizione della frequenza

Modalità di esame: Prova orale facoltativa; Prova scritta in aula tramite PC con l'utilizzo della piattaforma di ateneo;

Exam: Optional oral exam; Computer-based written test in class using POLITO platform;

... The exam consists of a written test that may include open-answer and closed-answer questions or exercises to check that the student has acquired the expected knowledge (see expected learning outcomes). For the part about skills, the questions may be simple exercises or use cases related to the tools experimented with in the laboratories. The written Test will be taken using the Exams platform in a classroom. In case of technical problems, the students may be asked to write their Test with pencil and paper. The Test is closed-book, i.e., the student cannot consult any material during the Test and cannot use any electronic device except for the PC used for the Test. The maximum grade of the Test is 30/30, and the total duration, as measured by the Exams platform, which includes the setup time, is 1 hour and 30 minutes. A mark on the written Test greater than or equal to 25/30 will give you the right to take an integrative (and totally elective) oral test. The oral Test allows the student to obtain the 30L. Alternatively, the student can develop individual homework about one of the course's topics, delivering a written report followed by an oral presentation. The report and the oral presentation are evaluated up to 30L/30. A sample exam test will be made available to the students through the Exercise platform.

Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.