Dr. Davood Babazadeh

Gastdozent

Kontakt

Dr. Davood Babazadeh
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Harburger Schloßstraße 22a,
21079 Hamburg
Gebäude HS22a, Raum 2.018
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TUHH Open Research (TORE)

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Lehrveranstaltungen

Stud.IP
link to course in Stud.IP Studip_icon
Exercise Cybersecurity Data Science (PBL)
Subtitle:
This course is part of the module: Cybersecurity Data Science
Semester:
SoSe 24
Course type:
PBL -Projekt-/problembasierte Lehrveranstaltung (Lehre)
Course number:
lv2915_s24
Lecturer:
Riccardo Scandariato, Ina Weigl, Dr. Nicolás Díaz Ferreyra, Catherine Tony, Quang Cuong Bui, Torge Hinrichs, Emanuele Iannone
Description:

Theoretical Foundations:

  • Introduction to data science
  • Supervised and unsupervised learning
  • Data science methods (e.g., clustering, decision trees, artificial neural networks)
  • Performance metrics

Cybersecutrity Applications:

  • Spam detection
  • Phishing detection
  • Intrusion detection
  • Access-control prediction
  • Denial of Service (DoS) prediction
  • Vulnerability/malware prediction
  • Adversarial machine learning
Performance accreditation:
m1773-2022 - Cybersecurity Data Science<ul><li>p1760-2022 - Cybersecurity Data Science: Klausur schriftlich</li></ul><br>m1773-2023 - Cybersecurity Data Science<ul><li>p1760-2022 - Cybersecurity Data Science: Klausur schriftlich</li><li>vl440-2023 - Voluntary Course Work Cybersecurity Data Science - Subject theoretical and practical work: Subject theoretical and practical work</li></ul>
ECTS credit points:
3
Stud.IP informationen about this course:
Home institute: Institut für Software Security (E-22)
Registered participants in Stud.IP: 127
Documents: 6