ELTE-OTP CYBERSECURITY LAB (KIBERLAB)

Innovation in financial IT security

ELTE-OTP CYBERSECURITY LAB (KIBERLAB)

At ELTE, with the contribution of the OTP Group, a security research and development laboratory called KIBERLAB was established in 2023. Its goal is to examine possibilities for preventing financial fraud and to research the bank’s own security solutions.

At the heart of the laboratory’s work and the focus of its research stands one of the most important tasks of today and the coming years: cyber defense. As part of this, the opportunities offered by artificial intelligence, machine learning, and cryptographic applications also play a significant role, for example in filtering and analyzing suspicious transactions.

Starting from the 2023/2024 academic year at the ELTE Faculty of Informatics, students of the Computer Science BSc, MSc and PhD programs can join the research as a credit-earning course. Through this, they gain insight into banking infrastructure and the challenges affecting financial IT. Participation in the research also counts as professional internship, and as part of the collaboration, OTP Bank offers scholarships to the most talented students.

Applications can always be submitted for the topics announced for the given semester.

Employees of OTP Bank will also hold guest lectures at the university on topics related to banking and cybersecurity.

The physical location of the laboratory: 1117 Budapest, Pázmány Péter sétány 1/A, 7th floor, rooms 7.29–7.31.

For professional questions regarding the research laboratory, you can contact us at kiberlab@otpbank.hu or kovacs.attila@inf.elte.hu, we are happy to help.

KIBERLAB topics 2025/2026 2nd semester

Incident Management

  1.1 Honeypot design (based on real machine architectures)
  1.2 Adversary profiling
  1.3 Phishing website discovery and monitoring
  1.4 Combating phishing using AI agents
  1.5 Transaction fraud detection using AI
  1.6 Assessing the trustworthiness of bank account numbers
  1.7 Detecting AI-generated content
  1.8 Automated incident analysis using AI

Research on defenses against financial fraud

  2.1 Research and evaluation of new and existing customer identification methods
  2.2 Research on tools for assessing vulnerabilities and incident response capability
  2.3 Web dependency analysis

Risk Management

  3.1 Designing an LLM security testing and compliance process
  3.2 Testing LLMs’ Hungarian language capabilities
  3.3 Evaluating post-quantum solutions
  3.4 Protecting personal data in client–server communication
  3.5 Assessing the trustworthiness of source-code libraries
  3.6 Federated learning

Other

  4.1 News crawler
  4.2 Open / freely chosen topics

 

Registration

Registration to the lab can be done through the Neptun system by selecting one of the following courses:

KódKurzus neveOktató
IPM-18sztSZT1LSzoftvertechnológia labor I.Kovács Attila
IPM-18sztSZT2LSzoftvertechnológia labor II.Kovács Attila
IPM-18sztSZT3LSzoftvertechnológia labor III.Kovács Attila
IPM-18sztSZT4LSzoftvertechnológia labor IV.Kovács Attila
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