Subject: Security Data Analytics (19.IB25 )
Native organizations units: No data
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Master Academic Studies | Information Security (Godina: 1, Winter) |
Educational goal:
The goal of the Security Data Analytics course is to prepare students for higher-level security analyst roles (L2/L3). Experts possessing relevant skills in this domain are highly sought after in various industries, e.g. financial infrastructures (e.g. banks, credit card system operators), big multi-national companies, ministries and various Computer Emergency Response Teams (CERT).
Educational outcome:
The students will become familiar with the different security monitoring data types. They will learn the necessary techniques for collecting, preprocessing and storing security monitoring data. They will become familiar with different data analysis and visualization solutions. They will acquire detailed knowledge of anomaly detection techniques and challenges. Additionally, they will become familiar with the operating environment in modern Security Operations Centers (SOC).
Course content:
Network and system security monitoring data types. Full packet capture data. Packet string data. Session data. Operating system and application log data. Security intelligence data feeds and their analysis. Detection mechanisms and indicators of compromise. Rule- and reputation-based data analysis. Anomaly-based detection with statistical data. Anomaly-based detection with machine learning techniques. Anomaly detection challenges. Computer Emergency Response Teams (CERTs). Security analytics and automation in the Security Operations Centers (SOC).
Teaching methods:
Lectures; Other forms of teaching; Consultations.
Literature:
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| 2018 | English | |||
| 2014 | English | |||
| Драган Кукољ | Системи засновани на рачунарској интелигенцији | 2007 | Нови Сад , Факултет техничких наука | Serbian language |
| 2018 | English | |||
| Марин Гостимировић | База података обрадних процеса | 2013 | Нови Сад : Факултет техничких наука | Serbian language |
| Момчило Новковић | Нелинеарни модели временских серија : допринос теорији и пракси | 2002 | Нови Сад : Факултет техничких наука | Serbian language |
| Дарко Чапко, Срђан Вукмировић, Дубравка Бојанић | Одабрана поглавља из моделовања и симулације система у Матлабу | 2016 | Нови Сад : Факултет техничких наука | Serbian language |
| 2018 | English | |||
| Владимир Остојић, Татјана Лончар-Турукало | Практикум за рачунарске вежбе из дигиталне обраде слике | 2016 | Нови Сад : Факултет техничких наука | Serbian language |
| 2016 | English |
Knowledge evaluation:
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Lecture attendance | Yes | Yes | 5.00 |
| Oral part of the exam | No | Yes | 20.00 |
| Project | Yes | Yes | 50.00 |
| Exercise attendance | Yes | Yes | 5.00 |
| Test | Yes | Yes | 20.00 |
Lecturers:
vanr. prof. dr Varga Ervin
Associate Professor
Lectures
vanr. prof. dr Lendak Imre
Associate Professor
Lectures
Asistent Babić Zorana
Assistant - Master
DON - drugi oblici nastave
Faculty of Technical Sciences
© 2024. Faculty of Technical Sciences.
Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.