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Blockchain: Quality of Distributed Ledger Technology Designs



Informationen zur Arbeit

Abschlussarbeitstyp: Bachelor, Master
Betreuer: Niclas Kannengießer
Forschungsgruppe: Critical Information Infrastructures

Archivierungsnummer: 4319
Abschlussarbeitsstatus: Offen
Beginn: unbekannt
Abgabe: unbekannt

Weitere Informationen

Background:

Distributed Ledger Technology (DLT) is promising to speed up and automate business processes while decreasing transaction cost in fields such as internet-of-things and finance. In current scenarios for the application of DLT in the business landscape, DLT poses an integral component, whose functionality goes far beyond storing values. For instance, the application of DLT is of high interest for companies in use cases including sensitive processes such as micropayments, secure logging and access right management. Hence, each participating company must trust into functionality and correctness of the integrated DLT design. Due to application context-dependent requirements on DLT, it is especially hard to determine and compare quality of DLT designs. We are interested in theses that focus on development of concepts for monitoring and benchmarking DLT designs.


Objective(s):

Possible topics include but are not limited to:

  • Development of concepts for benchmarking DLT designs
  • Development of concepts for monitoring DLT designs
  • Analysis of existing approaches for DLT benchmarks and monitoring
  • Security issues in DLT designs

This is an umbrella topic since work with a strong focus on theory will only work with a strong personal interest. The suitability of a topic you propose will be discussed during a first meeting.


Introductory literature:

Abdellatif, T., & Brousmiche, K. L. (2018). Formal Verification of Smart Contracts Based on Users and Blockchain Behaviors Models. In 2018 9th IFIP International Conference on New Technologies, Mobility and Security (S. 1–5). https://doi.org/10.1109/NTMS.2018.8328737

Anh, D. T. T., Zhang, M., Ooi, B. C., & Chen, G. (2018). Untangling Blockchain: A Data Processing View of Blockchain Systems. IEEE Transactions on Knowledge and Data Engineering, 30(7), 1–1. https://doi.org/10.1109/TKDE.2017.2781227

Dinh, T. T. A., Wang, J., Chen, G., Liu, R., Ooi, B. C., & Tan, K.-L. (2017). BLOCKBENCH: A Framework for Analyzing Private Blockchains. In Proceedings of the 2017 ACM International Conference on Management of Data (S. 1085–1100). https://doi.org/10.1145/3035918.3064033

Mylrea, M., & Gourisetti, S. N. G. (2017). Blockchain for smart grid resilience: Exchanging distributed energy at speed, scale and security. In 2017 Resilience Week (S. 18–23). https://doi.org/10.1109/RWEEK.2017.8088642

Natoli, C., & Gramoli, V. (2017). The Balance Attack or Why Forkable Blockchains are Ill-Suited for Consortium. In 2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (S. 579–590). https://doi.org/10.1109/DSN.2017.44

Watanabe, H., Fujimura, S., Nakadaira, A., Miyazaki, Y., Akutsu, A., & Kishigami, J. (2016). Blockchain contract: Securing a blockchain applied to smart contracts. In 2016 IEEE International Conference on Consumer Electronics (S. 467–468). https://doi.org/10.1109/ICCE.2016.7430693