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Prof. Dr. Pavel Laskov

Data and Application Security

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We develop methods to protect digital systems through intelligent and adaptive technologies, in particular at the interface between cybersecurity and artificial intelligence.

Our team researches both fundamental and application-oriented aspects of cyber defence:

How do attacks work? How can they be detected? And how can systems continue to operate reliably despite attacks?

In close collaboration with partners from academia and industry, we translate our research findings into practical solutions for current security challenges.

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Research Topics

We address a range of exciting research topics in IT security, including:

We investigate how attackers can deliberately deceive AI models and how these models can be made more resilient, as well as how AI-enabled systems, for example in high-frequency trading or in network management components of 5G infrastructures, can fail under attack and how their robustness can be improved.

We develop systems that use data-driven methods to detect unusual or harmful activities, such as malware, phishing attacks or network anomalies, in complex, dynamic and heterogeneous environments.

We investigate how threat intelligence is generated, shared and used in practice, and how this process can be made more reliable and effective through empirical studies and automated methods.

We apply structured security models such as attack trees to systematically identify and mitigate security risks.

We develop didactic concepts and tools to promote awareness and skills in the field of cybersecurity across different age and professional groups, with a particular focus on closing skills gaps and supporting informed digital participation.

Further areas of focus include benchmarking and reproducibility in security research as well as user-centred studies in the field of cybersecurity.

Teaching and Professional Education

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Our teaching focuses on education in cybersecurity and information systems, predominantly in master's and doctoral degree programmes. We place particular emphasis on practice-oriented learning and the development of research-oriented skills.

Prof. Dr. Pavel Laskov is the academic director of the master's degree programme in Information Systems at the University of Liechtenstein.

Our team is involved in compulsory and elective courses of this degree programme on topics relating to data and application security. In addition, we promote professional education and public awareness, for example through training for professionals and initiatives to raise cybersecurity awareness from an early age.

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Professional Education Subject Area: Business Information Systems | AI | Digita…
Bachelor in Business Administration
Master in Information Systems
Doctoral Programme in Business Economics

Publications

Research Projects

Energy Efficiency of LLM-generated Code

FFF-Funding Project
March 2025 until March 2026
This project addresses the energy efficiency of LLM generated code. Due to strong development cost savings arising from deployment of LLM for programming, understanding of energy efficiency of ... More

Innovative Approach to Kid's Cybersecurity Education: Empowering and Inspiring Educators for the Next Generation

Erasmus
September 2024 until August 2026
The indirect goal of the project is to educate youngsters about cybersecurity, safeguarding them from various digital threats. It also seeks to encourage kids to consider cybersecurity as a future ... More

IoT Sustainability Lab

Interreg-Project
April 2023 until March 2027
The IoT Sustainability Lab explores how the Internet of Things (IoT) can contribute to sustainable development in the Lake Constance region. Digital technologies can increase resource consumption, ... More

Sensor-based activity recognition for hand-held power tools at the construction site

PhD-Thesis
since February 2022
Nowadays, the construction sector still lacks transparency in terms of productivity, work progress and tool utilization on the job site. The ongoing digitalization of the construction industry is ... More

Security of Artificial Intelligence Systems in 5G Networks

PhD-Thesis
since February 2021
The adoption of the 5G technology in telecommunications and rapid growth in numbers, variety and density of connected devices raises serious security concerns. The increasing amount of network ... More

SAMLAF: Security Assessment of Machine Learning Applications in Finance

FFF-Funding Project
September 2023 until February 2025 (Completed)
Algorithmic trading has become a vital instrument in the financial services industry. Automatic decision making on financial markets with the help of intelligent algorithms enables traders to ... More

Hackers and AI: Investigating Hackers' Technical Innovation Through the Lens of Cyber Threat Intelligence and Natural Language Processing

PhD-Thesis
September 2021 until May 2025 (Completed)
The cyber threat landscape is constantly evolving, with new tools and technological advancements changing how adversaries conduct cyberattacks. With the progression of Artificial Intelligence (AI) ... More

Team

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Prof. Dr. Pavel Laskov
Professor - Data and Application Security Academic Director MSc IS - Liechtenstein Business School
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Dr. Giovanni Apruzzese
Assistant Professor - Data and Application Security
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Irdin Pekaric PhD
Postdoc - Data and Application Security
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Rodion Vladimirov MSc
Research Assistant / PhD Student - Data and Application Security
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Advije Rizvani
Research Assistant / PhD Student - Data and Application Security
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Lazar Maksimovic
Student Assistant - Data and Application Security
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Edah Pekaric BSc.
Student Assistant - Data and Application Security
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Janina Nicole Rischka B.A., M.A.
Assistant - Dean's Office Liechtenstein Business School
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Contact Us

Questions about the Professorship?

Prof. Dr. Pavel Laskov
Professor - Data and Application Security Academic Director MSc IS - Liechtenstein Business School
Email » +423 265 13 52 » Contact Details »
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