Towards Trust-Aware IoT Hashing Offloading in Mobile Edge Computing
Rania Islambouli, Zahraa Sweidan, Azzam Mourad, Chadi Abou‐Rjeily
Abstract
The massive increase of IoT connected devices is imposing various challenges at different dimensions due to the constrained capabilities of devices and huge requirements of applications. Attributed to the benefits it offers in terms of time and cost, pushing security solutions to the network edge has attracted tremendous interest. Most of the hashing algorithms are centralized focusing on optimizing hashing techniques while considering enough processing and power capabilities. However, hashing algorithms in the context of IoT world suffer from the limitations of devices in terms of battery power and computing capabilities, thus distributed hashing becomes a necessity to enable it within IoT environment. In this paper, we introduce a trust-aware based model that provides efficient and trusted distribution of hashing computation among mobile edge resources. We formulate the distribution model as an integer linear programming problem while taking into consideration various parameters and constraints. Experimental results explore the efficiency of our proposed approach with respect to the literature.