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基于改进阻塞判别算法的物联网安全风险溯源方法

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物联网智能终端设备操作系统、内置Web应用、数据库等存在安全漏洞,但可溯源的安全风险种类较少、漏检较多.因此,设计一种基于改进阻塞判别算法的物联网安全风险溯源方法.基于流量采集技术与大数据技术,设计由实时监控模块、数据拦截、上链模块以及链下可信平台模块构成的物联网接口数据采集平台,进行了应用程序接口的深度协议分析.基于改进的阻塞判别算法,构建物联网应用程序编程(API)接口可用性风险分析模型,进行API接口可用性风险分析.搭建API接口数据流转安全风险溯源平台,完成物联网安全风险溯源.实验结果表明,所提方法能够达到91%以上的溯源准确率.
Internet of Things Security Risk Traceability Method Based on Improved Blocking Discrimination Algorithm
There are security loopholes in the operating system of intelligent terminal devices in the Internet of Things,built-in Web applications and databases,etc.,but there are fewer types of traceable security risks and more missed tests.Therefore,a traceability method for security risks of the Internet of Things based on improved blocking discrimination algorithm is designed.Based on the traffic collection technology and big data technology,the data collection platform of the Internet of Things inter-face is designed by composing real-time monitoring module,data interception uplink module and offline trusted platform mod-ule,and the in-depth protocol analysis of the application program interface is carried out.Based on the improved blocking dis-crimination algorithm,an analysis model of the usability risk of the Internet of Things application programming interface(API)interface is constructed,and the usability risk of the API interface is analyzed.An API interface data flow security risk tracea-bility platform is built to complete the Internet of Things security risk traceability.The experimental results show that the traceability accuracy of the proposed method can reach over 91%.

improved blocking discrimination algorithmInternet of ThingsRootkit monitoringsecurity risk traceabilityIP address resolution

高山、张涛、杨海彬

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首都医科大学附属北京天坛医院,北京 100070

改进阻塞判别算法 物联网 Rootkit监控 安全风险溯源 IP地址解析

2024

微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
年,卷(期):2024.40(12)