School of Economics, Innovation and Technology, and Kristiania University College, 0107 Oslo, Norway.
Embedded System and Computational Science, College of Arts, Media and Technology, Chiang Mai University, Chiang Mai 50200, Thailand.
Sensors (Basel). 2023 Jun 1;23(11):5256. doi: 10.3390/s23115256.
These days, the use of digital healthcare has been growing in practice. Getting remote healthcare services without going to the hospital for essential checkups and reports is easy. It is a cost-saving and time-saving process. However, digital healthcare systems are suffering from security and cyberattacks in practice. Blockchain technology is a promising technology that can process valid and secure remote healthcare data among different clinics. However, ransomware attacks are still complex holes in blockchain technology and prevent many healthcare data transactions during the process on the network. The study presents the new ransomware blockchain efficient framework (RBEF) for digital networks, which can identify transaction ransomware attacks. The objective is to minimize transaction delays and processing costs during ransomware attack detection and processing. The RBEF is designed based on Kotlin, Android, Java, and socket programming on the remote process call. RBEF integrated the cuckoo sandbox static and dynamic analysis application programming interface (API) to handle compile-time and runtime ransomware attacks in digital healthcare networks. Therefore, code-, data-, and service-level ransomware attacks are to be detected in blockchain technology (RBEF). The simulation results show that the RBEF minimizes transaction delays between 4 and 10 min and processing costs by 10% for healthcare data compared to existing public and ransomware efficient blockchain technologies healthcare systems.
如今，数字医疗保健在实践中的应用日益增长。通过远程医疗服务，无需前往医院进行基本检查和报告就可以轻松获得医疗服务。这是一种节省成本和时间的过程。然而，数字医疗保健系统在实践中仍面临着安全和网络攻击的问题。区块链技术是一种有前途的技术，可以在不同诊所之间处理有效的、安全的远程医疗数据。然而，勒索软件攻击仍然是区块链技术中的复杂漏洞，阻止了网络上许多医疗保健数据交易的进行。本研究提出了新的勒索软件区块链高效框架（RBEF），用于数字网络，可以识别交易勒索软件攻击。目标是在勒索软件攻击检测和处理过程中最小化交易延迟和处理成本。RBEF 是基于 Kotlin、Android、Java 和套接字编程在远程过程调用上设计的。RBEF 集成了布谷鸟沙箱静态和动态分析应用程序编程接口（API），以处理数字医疗网络中的编译时和运行时勒索软件攻击。因此，在区块链技术中检测到代码、数据和服务级别的勒索软件攻击（RBEF）。仿真结果表明，与现有的公共和勒索软件高效区块链技术医疗系统相比，RBEF 可以将交易延迟最小化 4 到 10 分钟，将医疗数据的处理成本降低 10%。
