Paper published in the journal Information Processing & Management

October 14, 2020

Hamza Baniata, Attila Kertész and Ahmad Anaqreh, (SZTE Department of Software Engineering and Department of Computational Optimization) have published a new paper titled “PF-BTS: A Privacy-Aware Fog-enhanced Blockchain-assisted task scheduling” in the prestigious international journal, Information Processing & Management.

Their article focuses on the improvement of automated task scheduling with the help of Fog Computing and Blockchain technologies. The authors propose an Ant Colony Optimization (ACO) algorithm in a Fog-enabled Blockchain-assisted scheduling model, namely PF-BTS.
Not only is this new solution more effective in task scheduling, but during the processing the fog is enforced to respect the privacy of system components, and assures that data, location, identity, and usage information of the end-users are not exposed.
In the end, the new method is evaluated and compared to other protocols, where it is found that PF-BTS shows high privacy awareness, and is noticeably better when it comes to execution time and network load.

The paper can be read here.

Page last modified: October 22, 2020