Root exploit detection and features optimization: mobile device and blockchain based medical data management

Scholars have focused on storage and preservation of sensitive data from sources such as medical devices and medical insurance.

“With the increasing inter-institutional adoption of blockchain, scholars have also focused on the issue of storage and preservation of sensitive data (Al Omar et al., 2019) from different sources such as medical devices (Firdaus et al., 2018), and medical insurance (Zhou et al., 2018).”

Majority of research in this domain has focused on enhancing the performance of developed systems and architectures through technical improvements.

“Majority of research in this domain has focused on enhancing the performance of developed systems and architectures through technical improvements, such as unknown root exploitation detection (Firdaus et al., 2018), use of smaller data block sizes (Yang et al., 2019), and improvement of transaction propagation delay (Rahmadika & Rhee, 2019).”

Some studies reported data limitations including non-representativeness of sample data, limited training data availability, and possibility of data duplication.

“Some studies reported limitations for data, such as non-representativeness of sample data (Quaini et al., 2018;Firdaus et al. 2018), the limited availability of training data for running simulations or tests (Lee & Yang, 2018), and the possibility of data duplication (Roehrs et al., 2017).”

Other reported constraints include lack of testing with actual inter-institutional medical data and lack of time for dynamic analysis.

“Other reported constraints pertain to lack of testing using actual inter-institutional medical data (Quaini et al., 2018), and the lack of time for dynamic analysis (Firdaus et al. 2018).”