Cyber Security & IT Security

The protection of IT infrastructures and sensitive data presents companies with new technical and organizational challenges every day. As part of the research focus "Cyber Security", researchers at the St. Pölten University of Applied Sciences are working on the development of new methods for detecting, interpreting and defending against attacks. In particular, we consider the areas of system security and (mal)software, data science, as well as security management and privacy.

On the one hand, it is essential for us to consider new theoretical approaches as far as possible, but also the intensive cooperation with partners from industry as well as research partners from other areas such as medical research or bioinformatics, in order to achieve research results that are as realistic and relevant for practical application as possible.

Essential topics therefore also include the area of digital forensics, which is particularly relevant for public authorities, but also the topic of industrial security, since this practical area of application has particularly interesting conditions (long running time of the components, low possibilities of alterations in the system, 24/7 operation) and at the same time has an extremely high criticality.

Students of the study course IT Security and Information Security have the opportunity to deepen their practical knowledge by participating in research projects and thus gain practical experience in the field of (cooperative) research.

Institutes & Research Groups

Institute of
Creative\Media/Technologies

Digital Technologies, Media Computing, Media Creation

Institute of
IT Security Research

Security Management & Privacy, System & Application Security, Applied Security & Data Science

Research Group
Media Computing

Projects

Josef Ressel Center for Unified Threat Intelligence on Targeted Attacks (TARGET)

Institute of IT Security Research

The Josef Ressel Center for Unified Threat Intelligence on Targeted Attacks (TARGET) is a research institution operated by the St. Pölten University of Applied Sciences. Its mission is to explore...

Usable Privacy Box (upribox)

The project "usable privacy box" (upribox) developes a software and creates a device that protects internet privacy and ensures data security.

LIVEFOR

Institute of IT Security Research

The project LIVEFOR aims at enabling corporations their own research activities in the field of live-forensic and analysis of volatile data of a running computer system.

StegIT III

StegIT 3 hat die Ziele, für die Verfahren aus StegIT 2 die noch fehlende Steganalyse und daraus folgend eine detaillierte wissenschaftliche Sicherheitsbewertung durchzuführen...

Privacy and Security in Online Advertisement

Institute of IT Security Research

PriSAd – the project „Privacy and Security in Online Advertisement” aims at an integral analysis of privacy and security of online advertising networks.

Usable Privacy Box (upribox) 2

The usable privacy box (upribox) is a network tool that filters ads on all connected devices such as smartphones or laptops and ultimately protects the user’s privacy. The upribox 2.0 is even...

Big-Data Analytics

Institute of IT Security Research

Developing methods for the analysis of large amounts of data without compromising data protection.

CPS-Security

Im Forschungsprojekt sollen Gefahren, die in CPS aus der Sicht der IT-Security entstehen, dargestellt und Lösungsansätze ausgearbeitet werden. Mittels (Mess-)Daten soll laufend überprüft werden...

KIF – Cryptography for Wireless Communication

A highly secure and durable cryptography for wireless communication integrating radio data. – High frequency data transmission may allow for the traffic of the future.

ITsec.at

Project ITsec.at aims at identifying and counteracting cyber-attacks. Strategies, security tests and a comprehensive decision support system are developped.

SmartMeterIDS

Institute of IT Security Research

This project aims at improving the operational security of advanced metering infrastructures by the development of an innovative intrusion detection system tailored to the specific characteristics.

Smartphone Security

This research project focuses on more or less neglected topics of cyber security (IT security) concerning smartphones, tablet-PCs and BYOD (bring your own device).

LoRaKey

Institute of IT Security Research

Secret Key Generation for Long Range Communication Networks - LoRaKey aims at energy efficient secret key generation for lightweight LPWAN applications.

Data Science

Substation Security

Institute of IT Security Research

The project aims at improving security within the automation network of power distribution systems by developing anomaly detection algorithms for the communication networks of substations.

BEST AT - Roadmap: Vertrauen rechtfertigen - sichere Systeme

Institute of IT Security Research

Im Projekt BEST-AT wurde eine Roadmap geschaffen, welche Vorschläge für Forschungsthemen im Bereich Informationssicherheit und Betriebssicherheit liefert.

MalwareDef– Erkennen durch Verhaltensbeschreibung

Formale Beschreibungen von potentiell bösartigen Aktionen werden auf einem höheren Abstraktionsniveau als bisher erarbeitet, um proaktive Abwehrmaßnahmen entwickeln zu können.

Malware Analysis

Simulation kritischer Infrastrukturen

Institute of IT Security Research

Es wurde an einer Simulationssoftware mitentwickelt, die es ermöglicht Cyber Attacken auf kritische Infrastrukturen und deren Auswirkungen zu simulieren.

Industrial Security

StegIT II

Im Projekt wurden drei neue steganografische Einbettungsverfahren, ein neues universelles Abwehrsystem und ein Framework für PCs, Router und „Headsets“ erforscht und entwickelt sowie die sozialen...

Modellbasierte Systemintegration von CPS

Institute of IT Security Research

In diesem Projekt wurden Prototypen einer automatisierten Erstellung von Steuerungsprogrammen in PLCopen aus Zustandsautomaten und einer lernfähigen Part Average Analysis für eine reale...

Data Mining für Malware Klassifizierung

Institute of IT Security Research

Das Projekt konzentriert sich auf diejenigen Samples, deren Zuordnung zu Clustern mit den bisherigen Methoden nicht oder nur mit großem Aufwand (manuelle Analyse und Zuordnung) zu bewerkstelligen...