#Blockchain@Edge: Blockchain in Edge-Cloud computing continuum
Organization
Mobile & Cloud Computing Laboratory
Abstract
In edge computing, the intelligence is embedded onto the edge devices. For large data processing capacity and in-depth analysis, generally, the data is sent to the fog environment and then the cloud servers, which is far from the sensor’s location. This thesis talks about integrating blockchain for secure processing and transmission of the data from the sensor to the cloud.
Here, the student needs to implement the existing blockchain technology at least in a lab environment that mimics the edge-cloud environment. The goal here is to store the sensor-generated data securely in fog and cloud environments using blockchain technology. The student may need to use the AWS cloud or UT’s Openstack private cloud for a cloud environment.
The student will further improve the current development by addressing two or more following research challenges:
- Deployment Automation
- Pluggable Consensus Algorithms
- Making it Truly Distributed
- Mapping More than Data Points to Hashing
Related MS Thesis: https://comserv.cs.ut.ee/ati_thesis/datasheet.php?id=77237&language=en
Related paper: Securing clustered edge intelligence with blockchain
Here, the student needs to implement the existing blockchain technology at least in a lab environment that mimics the edge-cloud environment. The goal here is to store the sensor-generated data securely in fog and cloud environments using blockchain technology. The student may need to use the AWS cloud or UT’s Openstack private cloud for a cloud environment.
The student will further improve the current development by addressing two or more following research challenges:
- Deployment Automation
- Pluggable Consensus Algorithms
- Making it Truly Distributed
- Mapping More than Data Points to Hashing
Related MS Thesis: https://comserv.cs.ut.ee/ati_thesis/datasheet.php?id=77237&language=en
Related paper: Securing clustered edge intelligence with blockchain
Graduation Theses defence year
2023-2024
Supervisor
Chinmaya Kumar Dehury
Spoken language (s)
English
Requirements for candidates
Level
Masters
Keywords
Application of contact
Name
Chinmaya Kumar Dehury
Phone
E-mail