Cargando…
A Machine Learning-Based Method for Automated Blockchain Transaction Signing Including Personalized Anomaly Detection
The basis of blockchain-related data, stored in distributed ledgers, are digitally signed transactions. Data can be stored on the blockchain ledger only after a digital signing process is performed by a user with a blockchain-based digital identity. However, this process is time-consuming and not us...
Autores principales: | Podgorelec, Blaž, Turkanović, Muhamed, Karakatič, Sašo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983113/ https://www.ncbi.nlm.nih.gov/pubmed/31881673 http://dx.doi.org/10.3390/s20010147 |
Ejemplares similares
-
Sensors and Functionalities of Non-Invasive Wrist-Wearable Devices: A Review
por: Kamišalić, Aida, et al.
Publicado: (2018) -
Blockchain-Based Supply Chain Systems, Interoperability Model in a Pharmaceutical Case Study
por: Mezquita, Yeray, et al.
Publicado: (2023) -
Strangely mined bitcoins: Empirical analysis of anomalies in the bitcoin blockchain transaction network
por: Óskarsdóttir, María, et al.
Publicado: (2021) -
Enforcing Fairness in Blockchain Transaction Ordering
por: Orda, Ariel, et al.
Publicado: (2021) -
Graph Learning-Based Blockchain Phishing Account Detection with a Heterogeneous Transaction Graph
por: Kim, Jaehyeon, et al.
Publicado: (2023)