A blockchain is a distributed database shared among a computer network’s nodes. Distributed peer-to-peer architecture introduces major disruptions to traditional operations by decentralising governance by creating a secure design that does not require trusted third parties to establish transactional relationships between two parties. Blockchain provides trust between stakeholders and improves the reliability of data and the immutability of agreed transactions. By being decentralised, Blockchain is less vulnerable to attacks and helps to improve data privacy and pseudo-anonymity of participants. Blockchain technology ensures legal certainty via smart contracts and digital assets. As blockchain-based cross-border services proliferate, the importance of cybersecurity considerations within Blockchain Application Development will continue to increase.


Security Preservation in Blockchain ensures increased reliability, trustworthiness, and security of Blockchain technology, vital technological issues must be addressed, demonstrated and validated. Some of these include loopholes in mutual-trust building mechanisms through smart contracts, verification of resilient cryptographic implementations utilised in cryptocurrency wallets, privacy-protecting techniques for reliable user data transmission and management, analysis of the transaction-information hiding techniques, blockchain-based security designs leveraging provided properties and identity management within Self-sovereign Identity Framework and introduction of secure multiparty signatures (to mitigate the impact of supply-chain attacks and security bugs).
Strategic Priority
- Illustrate the state of the art use of blockchain in the vehicular communication environment.
- Develop building blocks for hardware wallets with multiparty computation (MPC).
- Demonstrate that blockchain can be used to manage traffic signals for emergency vehicles.
Pilot Research
- Secure consensus for Intelligent Vehicular Communication.
- Emergency Information transmission using blockchain in Intelligent Vehicular Communication.
- Blockchain-related operations are protected by cryptographic hardware with MPC.

Publications (View all)
Two-Party ECDSA with JavaCard-Based Smartcards
Dufka, A., Laud, P., Švenda, P. (2025). Two-Party ECDSA with JavaCard-Based…
Large-Scale Security Analysis of Hardware Wallets
Šorf, M., Švenda, P., Chmielewski, Ł. (2025). Large-Scale Security Analysis…
IoV-TwinChain: Predictive maintenance of vehicles in internet of vehicles through digital twin and blockchain
Iqbal,M., Suhail, S., Matulevičius, R., Shah, F.A., Malik, S.U.M., McLaughl…
Trust-minimizing BDHKE-based e-cash mint using secure hardware and distributed computation
Dufka, A., Janků, J., Švenda, P. (2024) Published in: Proceedings of the 19…
DECEPTWIN: Proactive Security Approach for IoV by Leveraging Deception-based Digital Twins and Blockchain
Iqbal, M., Suhail, S., Matulevicius, R. (2024) Published in: Proceedings of…
The Power of Many: Securing Organisational Identity Through Distributed Key Management
Bakhtina, M., Kvapil, J., Švenda, P., and Matulevičius, R., (2024) Publishe…
Presentations (View all)
Breaking the Estonian ID card revisited: tools and methods for security assessment
Presenter: Petr Švenda (Masaryk University) Venue: The Future Cryptography …
Two-party ECDSA with JavaCard-based smartcards
Presenters: Antonín Dufka, Peeter Laud, Petr Švenda
IoV-TwinChain: Predictive Maintenance of Vehicles in Internet of Vehicles through Digital Twin and Blockchain
Presenter: Raimundas Matulevičius
Leveraging Blockchain-Enabled Digital Twins in Healthcare
Presenter: Xinjian Zhang
Towards Developing a Blockchain Selection Toolkit for Smart Cities
Presenter: Xinyue Zhang
Theses (View all)
Analysis of security features of smart lock protocol
Author: Petr Hanák; Supervisors: Petr Švenda and Arnis Parsovs
BlockSci-based methods for Bitcoin on-chain analysis with focus on CoinJoin
Author: Stanislav Boboň; Supervisor: Petr Švenda
Cryptographic policies for private key operations
Author: Martin Sečkár; Supervisor: Petr Švenda
AI-Driven Blockchain-based Federated Learning for Edge Devices
Author: Lanxiang Zhang; Supervisor: Mubashar Iqbal
Towards Developing a Blockchain Selection Toolkit for Smart Cities
Author: Xinyue Zhang; Supervisor: Mubashar Iqbal
Leveraging Blockchain-Enabled Digital Twins in Healthcare
Author: Xinjian Zhang; Supervisor: Mubashar Iqbal