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Applications, Approaches and Challenges In Cybersecurity In The Modern Digital Era

Public syllabus for 2025-2026

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Academic overview

Programme
CS
Period
Year 1, Semester 2
Credits
5
Weeks
14

Curriculum placement

Appears in study plans

CS (2025 - 2027) Year 1, Semester 2 Mandatory subject

Teaching team

Course coordinator
Mario Reja
Seminar coordinators
Mario Reja

Learning time distribution

Total
Curriculum Lecture Practice Total Weekly Lecture Practice
42 28 14 3 2 1
Exam hours
6
Individual Study Bibliography study Field study Homework Tutoring Others
77 31 27 13 6 0
Overall
125

Learning outcomes

Knowledge

  • Understanding the architectures and technologies underlying cyber security. Identifying the main errors in platform security. Recognizing security vulnerabilities and remediating them. / Înțelegerea arhitecturiilor și a tehnologiilor ce stau la baza securității cibernetice. Identificarea principalelor greșeli în securizarea platformelor . Recunoașterea breșelor de securitate și remedierea acestora.

Skills

  • Preparing platforms for application deployment. Adhering to best practices for platform security and determining risk factors and potential security gaps. / Pregătirea platformelor pentru lansarea aplicațiilor. Respectarea bunelor practici pentru securizarea platformelor și determinarea factorilor de risc, respectiv potențialele breșe de securitate

Responsibility

  • The ability to comprehend basic concepts associated with technology security needs. Putting security concepts demonstrated in class/laboratory into practice. / Capacitatea de a înțelege noțiuni de bază asociate nevoilor de securizare a tehnologiilor. Punerea în practică a conceptelor de securitate demonstrate la curs/laborator.

Online platform

https://classroom.google.com/c/ODQ1MDM5MDg5MTI3?cjc=7jlggkmr

Course content

Content Methods Obs
Curs 1:Introduction Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şidezbaterea,modelarea, proiectul,lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 ore
Curs 2:Security Frameworks, Risk Management & ComplianceOverview of advanced risk management frameworks (NIST, ISO 27001, COBIT). Technical threat modeling and vulnerability assessment methodologies. Compliance challenges in regulated technical environments. Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şidezbaterea,modelarea, proiectul,lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 ore
Curs 3:Network Security & Intrusion Detection Systems (IDS/IPS), Advanced concepts in network security, including segmentation, firewalls, and IDS/IPS configurations.Anomaly detection and traffic analysis algorithms. Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şidezbaterea,modelarea, proiectul,lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 ore
Curs 4: Network Security & Intrusion Detection Systems (IDS/IPS), Advanced concepts in network security, including segmentation, firewalls, and IDS/IPS configurations.Anomaly detection and traffic analysis algorithms. Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şidezbaterea,modelarea, proiectul,lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 ore
Curs 5:Advanced Malware Detection & Analysis,In‑depth look at malware types (ransomware, advanced persistent threats, polymorphic malware).Techniques for static and dynamic analysis, reverse engineering, and sandboxing Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şidezbaterea,modelarea, proiectul,lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 ore
Curs 6:Advanced Malware Detection & Analysis,In‑depth look at malware types (ransomware, advanced persistent threats, polymorphic malware).Techniques for static and dynamic analysis, reverse engineering, and sandboxing Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şidezbaterea,modelarea, proiectul,lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 ore
Curs 7: Phishing, Social Engineering & Email Security. Technical dissection of phishing tactics, spear‑phishing, and social engineering.Email security protocols: SPF, DKIM, DMARC and practical implementation. Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şidezbaterea,modelarea, proiectul,lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 ore
Curs 8: Phishing, Social Engineering & Email Security. Technical dissection of phishing tactics, spear‑phishing, and social engineering.Email security protocols: SPF, DKIM, DMARC and practical implementation. Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şidezbaterea,modelarea, proiectul,lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 ore
Curs 9: Digital Forensics Fundamentals. Advanced concepts in digital forensics: evidence acquisition, chain of custody, and forensic toolkits. Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şidezbaterea,modelarea, proiectul,lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 ore
Curs 10: Digital Forensics Fundamentals. Advanced concepts in digital forensics: evidence acquisition, chain of custody, and forensic toolkits. Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şidezbaterea,modelarea, proiectul,lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 ore
Curs 11:Cyber Threat Intelligence & Advanced Analysis Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şidezbaterea,modelarea, proiectul,lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 ore
Curs 12:Cyber Threat Intelligence & Advanced Analysis: Mitre att&ck Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şidezbaterea,modelarea, proiectul,lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 ore
Curs 13:Fundamentals of Blockchain Security Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şidezbaterea,modelarea, proiectul,lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 ore
Curs 14:Final projects Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şidezbaterea,modelarea, proiectul,lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 ore

Course bibliography

[1] Winston Ma and Ken Huang: BLOCKCHAIN AND WEB3, [2] Stephen Northcutt, Judy Novak: Network Intrusion Detection, Third Edition, [3] Isromi Janwar: Snort 2 1 - Intrusion Detection, Second Edition [4] Marek Żukowski, Sergei Kilin and Janusz Kowalik: QUANTUM COMMUNICATION AND SECURITY

Seminar content

Content Methods Obs
.Lab 1: Introduction to lab environments: Setting up virtual machines and configuring a sandbox for cybersecurity experiments. Vulnerability scanning (OpenVAS or Nessus) procedures Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şi dezbaterea, modelarea, proiectul, lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 oreLab notes, information and labs activities are available through e-uvt/Google specific platforms / Notițe de laborator, informații teme laborator disponibile prin platforme specifice e-uvt.ro, comunicare prin platforma Google Classroom
Lab 2: SNORT configuration and analysis. Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şi dezbaterea, modelarea, proiectul, lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 oreLab notes, information and labs activities are available through e-uvt/Google specific platforms / Notițe de laborator, informații teme laborator disponibile prin platforme specifice e-uvt.ro, comunicare prin platforma Google Classroom
Lab 3: Analysis of malware sample. Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şi dezbaterea, modelarea, proiectul, lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 oreLab notes, information and labs activities are available through e-uvt/Google specific platforms / Notițe de laborator, informații teme laborator disponibile prin platforme specifice e-uvt.ro, comunicare prin platforma Google Classroom
Lab4: Email simulation tools and configurations. Analyze phishing email headers using open‑source forensic tools. Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şi dezbaterea, modelarea, proiectul, lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 oreLab notes, information and labs activities are available through e-uvt/Google specific platforms / Notițe de laborator, informații teme laborator disponibile prin platforme specifice e-uvt.ro, comunicare prin platforma Google Classroom
Lab 5: Forensic imaging and preliminary analysis using tools such as Autopsy and FTK Imager. Analyze disk images for signs of intrusion. Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şi dezbaterea, modelarea, proiectul, lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 oreLab notes, information and labs activities are available through e-uvt/Google specific platforms / Notițe de laborator, informații teme laborator disponibile prin platforme specifice e-uvt.ro, comunicare prin platforma Google Classroom
Lab6: Threat intelligence analysis using open‑source tools (e.g., MISP, OpenCTI). Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şi dezbaterea, modelarea, proiectul, lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 oreLab notes, information and labs activities are available through e-uvt/Google specific platforms / Notițe de laborator, informații teme laborator disponibile prin platforme specifice e-uvt.ro, comunicare prin platforma Google Classroom
Lab7: Final projects Exercise, discussion and debate, modeling, the project, working in an organized group. / Exerciţiul, discuţiile şi dezbaterea, modelarea, proiectul, lucrul în grup organizat 1 week – 2 hours / 1 săptămână – 2 oreLab notes, information and labs activities are available through e-uvt/Google specific platforms / Notițe de laborator, informații teme laborator disponibile prin platforme specifice e-uvt.ro, comunicare prin platforma Google Classroom
Bibliography: [1] Winston Ma and Ken Huang: BLOCKCHAIN AND WEB3, [2] Stephen Northcutt, Judy Novak: Network Intrusion Detection, Third Edition,[3] Isromi Janwar: Snort 2 1 - Intrusion Detection, Second Edition[4] Marek Żukowski, Sergei Kilin and Janusz Kowalik: QUANTUM COMMUNICATION AND SECURITY [5] Arthur Lesk, Introduction to Bioinformatics, Oxford University Press, 5th edition, 2019[6] Samuel Greengard, The Internet of Things, revised and updated edition, The MIT Press, Updated edition, 2021

Seminar bibliography

Class contents corresponds to the curricula of other universities, from inside the country or from the European Union. The practical contents (laboratory works) correspond to the local labor market requirements. /Conținutul disciplinei corespunde curriculei din alte centre universitare, din țară sau Uniunea Europeană. Conținuturile practice (lucrări de laborator) corespund cerințelor de pe piața muncii locală.

Corroboration

(none)

AI tools guidance

For completing the tasks defined in the assessment section, the use of generative AI tools is permitted for generating ideas, design, and images. The student must specify, in a separate statement drafted for each task, the tool that was used, how it was used, and the part of the task in which it was used.Pentru realizarea sarcinilor definite la secțiunea aferentă evaluării este permisă utilizarea IIAgen pentru generarea de idei, design si imagini. Studentul va preciza, într-o declarație redactată distinct pentru fiecare sarcină de lucru, instrumentul pe care l-a utilizat, modul în care a fost utilizat și partea din sarcină în care acesta a fost utilizat.

Evaluation and delivery

Activity Criteria Methods Percentage
C
  • The evaluation takes into consideration the following categories of knowledge / Evaluarea are în vedere următoarele categorii de cunoștințe:
  • General knowledge, assessed through a test comprising multiple-choice questions or basic definitions / cunoștințe generale, evaluate printr-un test cuprinzând întrebări cu variante multiple de răspuns sau definiții de bază
  • Detailed knowledge, assessed through a test comprising questions oriented towards the key notions taught / cunoștințe de detaliu, evaluate printr-un test cuprinzând întrebări orientate spre noțiunile cheie predate
  • Algorithm utilization, assessed through a test comprising a set of problems based on the algorithms presented in the course. / utilizarea algoritmilor, evaluate printr-un test cuprinzând un set de probleme pe baza algoritmilor prezentați la curs
  • Written exam, active participation to lectures / Examinare scrisă;
  • participare activă la
  • activitățile de curs.
  • 50.0%
S
  • The implementation of laboratory assignments. / Implementarea temelor de laborator
  • Assignment evaluation, evaluation of additional activities / Evaluarea temelor, activităților adiționale;
  • 50.0%

Performance standards

Written examination / Examinare scrisă: To obtain a grade of 5, it is necessary to score above the minimum threshold (at least 60%) for general knowledge, as well as demonstrate a minimum level of understanding and application of some of the algorithms presented in the course (at least 40%). / Pentru nota 5 este necesară obținerea unui punctaj superior (minim 60%) pentru cunoștințele generale, precum și dovedirea unui nivel minim de înțelegere și aplicare a unora dintre algoritmii prezentați la curs (minim 40%) To obtain a grade of 10, it is necessary to score above the minimum threshold (at least 75%) for both general and detailed knowledge, as well as demonstrate a good understanding of the presented algorithms / Pentru nota 10 este necesară obținerea unui punctaj superior (minim 75%) pentru cunoștințele generale și cunoștințele de detaliu, precum și o bună înțelegere a algoritmilor prezentați

Additional info

(none)