| Title |
Comparison of big data storage solutions with the hybrid Blockchain architecture / |
| Authors |
Bendoraitis, Antanas ; Blažauskas, Tomas ; Butkevičiūtė, Eglė |
| DOI |
10.15388/DAMSS.14.2023 |
| ISBN |
9786090709856 |
| Full Text |
|
| Is Part of |
DAMSS 2023:14th conference on data analysis methods for software systems, November 30 – December 2, 2023, Druskininkai, Lithuania.. Vilnius : Vilnius University press, 2023. p. 9.. ISBN 9786090709856 |
| Keywords [eng] |
Internet of Things ; Blockchain technologies ; big data storage ; consensus algorithm ; decentralised systems |
| Abstract [eng] |
A massive amount of medical and health data is produced for diagnosis, monitoring, and treatment purposes. The gathered and stored content must be valid, complete, traceable, and immune to modification or deletion. The big data collection from the Internet of Things (IoT) and mobile devices emergence influenced data storage and processing solutions to be more reliable and decentralised. All database management systems are designed to minimise security breach, and it may range from simple password protection to complex user structure design. Wide usage of IoT technologies requires secure data transitions and storage that could be ensured by private blockchain networks that create tamper-resistant records of shared transactions. Currently, there is a lack of comprehensive and specific comparison among widely recognised primary big data storage solutions such as SQL, NoSQL, or blockchain-based approaches. Considering data storage and the frequent issues of data loss that arise from it, the comparison becomes important in security aspects. Furthermore, the other aspects, such as speed, utilised structures, and other possible qualitative measures among alternatives, were also analysed and compared. Also, the presence of such a comparison provides the opportunity to identify more accurately the most suitable alternative when making decisions related to secure data storage. This study proposes a hybrid blockchain architecture that combines traditional SQL and blockchain-based solutions to securely save users’ data with tamper-proof resistance. The proposed technique uses an unconventional consensus algorithm for faster agreement and data signing before saving. Primary results seem to be promising since the approximate data-saving time is 3.5 ms where 1 kb of data using 3 nodes is sent to each of the 1000 data packets that contain 1 kb of data. |
| Published |
Vilnius : Vilnius University press, 2023 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2023 |
| CC license |
|
