ELTE · OTP
KIBERLAB
ELTE-OTP Cybersecurity Industrial Laboratory
Innovation in Financial IT
Established in 2023 at ELTE in collaboration with the OTP Group, the KIBERLAB aims to investigate financial fraud prevention opportunities and research the credit institution's own defense solutions.
The focus of the laboratory's research is one of the most important tasks of today and the coming years: cyber defense. Within this, the possibilities inherent in artificial intelligence, machine learning, and cryptographic applications play a significant role, such as filtering and analyzing suspicious transactions.
Starting from the 2023/2024 academic year, Computer Science students at the ELTE Faculty of Informatics can join the research as a credit-bearing course, allowing them to learn about the banking infrastructure and the challenges facing financial IT. By joining the research, students can also complete their professional internship, and OTP Bank offers a scholarship to the most talented students.
Employees of OTP Bank will also hold guest lectures at the university related to banking and cybersecurity.
Applications
Applications are always open for the topics announced for the given semester.
Location
1117 Budapest, Pázmány Péter sétány 1/A, 7th floor, rooms 7.29–7.31.
Current Topics
1. Incident Management
- 1.1. Designing a Honeypot
- 1.2. Attacker Profiling
- 1.3. Detection and Monitoring of Phishing Websites
- 1.4. Combating Phishing using AI Agents
- 1.5. Detection of Artificial Intelligence Generated Content
- 1.6. Automated Incident Analysis using Artificial Intelligence
2. Research on Defense Solutions Against Financial Fraud
- 2.1. Research on Tools for Automated Attacks
- 2.2. Analysis of Web Dependencies
- 2.3. Evaluating the Reliability of Account Numbers
- 2.4. Transaction Fraud Detection using AI
3. Risk Management
- 3.1. Testing the Hungarian Language Proficiency of LLMs
- 3.2. Examining Shadow IT Detection Possibilities and Analyzing Its Risks
- 3.3. Examining Remote Browser Isolation Technologies and Their Applicability in Corporate Environments
- 3.4. Local Transcription and Analysis of Hungarian Speech
- 3.5. Evaluating the Reliability of Source Code Libraries
- 3.6. Federated Learning