Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Security Data Analytics (19.IB25)

Type of studies	Title
Master Academic Studies	Information Security (Year: 1, Semester: Winter)

General information:

Category	Scientific-professional
Scientific or art field	Primenjeno softversko inženjerstvo
ECTS	6

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).

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).

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).

Lectures; Other forms of teaching; Consultations.

Authors	Title	Year	Publisher	Language
Soma Halder	Hands-on Machine Learning for Cybersecurity	2018	Packt Publishing	English
Leslie F. Sikos	AI in Cybersecurity	2018	Springer	English
Chris Sanders, Jason Smith	Applied network security monitoring	2014	Syngress	English
Clarence Chio, David Freeman	Machine Learning and Security: Protecting Systems with Data and Algorithms	2018	OReilly Media	English
Sumeet Dua, Xian Du	Data mining and machine learning in cybersecurity	2016	Auerbach Publications	English