Visible to the public GALB: Load Balancing Algorithm for CP-ABE Encryption Tasks in E-Health Environment

TitleGALB: Load Balancing Algorithm for CP-ABE Encryption Tasks in E-Health Environment
Publication TypeConference Paper
Year of Publication2020
AuthorsTaha, Mohammad Bany, Chowdhury, Rasel
Conference Name2020 Fifth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)
KeywordsBiological cells, CP-ABE, cryptography, e-health, Encryption, genetic algorithm, Kubernetes, load balancing, Load management, Logic gates, performance evaluation, policy-based governance, pubcrawl, Scalability, Task Analysis
AbstractSecurity of personal data in the e-healthcare has always been challenging issue. The embedded and wearable devices used to collect these personal and critical data of the patients and users are sensitive in nature. Attribute-Based Encryption is believed to provide access control along with data security for distributed data among multiple parties. These resources limited devices do have the capabilities to secure the data while sending to the cloud but instead it increases the overhead and latency of running the encryption algorithm. On the top of if confidentiality is required, which will add more latency. In order to reduce latency and overhead, we propose a new load balancing algorithm that will distribute the data to nearby devices with available resources to encrypt the data and send it to the cloud. In this article, we are proposing a load balancing algorithm for E-Health system called (GALB). Our algorithm is based on Genetic Algorithm (GA). Our algorithm (GALB) distribute the tasks that received to the main gateway between the devices on E-health environment. The distribution strategy is based on the available resources in the devices, the distance between the gateway and the those devices, and the complexity of the task (size) and CP-ABE encryption policy length. In order to evaluate our algorithm performance, we compare the near optimal solution proposed by GALB with the optimal solution proposed by LP.
Citation Keytaha_galb_2020