RBEF:用于数字医疗保健应用程序的勒索软件高效公共区块链框架.
Abdullah Lakhan1, Orawit Thinnukool2, Tor Morten Groenli1
1School of Economics, Innovation and Technology, and Kristiania University College, 0107 Oslo, Norway.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
本研究介绍了一种新的勒索软件区块链高效框架 (RBEF),用于检测和处理数字医疗网络中的勒索软件攻击. RBEF显著减少了交易延迟和处理成本,以确保远程医疗数据的安全.
科学领域:
- 网络安全 网络安全
- 医疗信息学 医疗信息学
- 区块链技术 区块链技术
背景情况:
- 数字医疗保健提供方便的远程服务,但面临着来自网络攻击的安全挑战.
- 区块链技术增强了医疗保健中的安全数据处理,但仍然容易受到勒索软件的攻击.
- 勒索软件攻击破坏了区块链网络上的医疗保健数据交易.
研究的目的:
- 为数字医疗保健网络引入一种新的勒索软件区块链高效框架 (RBEF).
- 为了有效地检测和减轻交易勒索软件攻击.
- 为了尽量减少在勒索软件攻击检测期间的交易延迟和处理成本.
主要方法:
- 勒索软件区块链高效框架 (RBEF) 是使用Kotlin,Android,Java和插座编程开发的.
- 集成的Cuckoo Sandbox静态和动态分析API用于编译和运行时攻击检测.
- 旨在检测区块链系统中的代码,数据和服务级勒索软件攻击.
主要成果:
- RBEF显示,交易延迟减少了从4分钟到10分钟.
- 与现有系统相比,医疗保健数据的处理成本降低了10%.
- 在模拟的数字医疗保健网络中成功识别和处理交易勒索软件攻击.
结论:
- RBEF有效地解决了基于区块链的数字医疗保健系统中的勒索软件威胁.
- 通过减少医疗保健数据安全交易的延迟和成本,提高了效率.
- 为增强数字医疗网络的安全性和可靠性提供了强大的解决方案.
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