摘要
船用物联网安全状态识别可以保障船用物联网正常工作,针对当前船用物联网安全状态识别方法存在的不足,以获得理想的船用物联网安全状态识别结果,提出基于数据挖掘的船用物联网安全状态识别方法。首先采集船用物联网的不确定风险因素,将其作为抗原信息集,计算其风险信号后,输出风险信号的浓度结果;采用数据挖掘技术获取船用物联网面临的风险值,将风险发生的可能性作为安全状态识别标准,完成船用物联网安全状态识别。测试结果表明,该方法可准确感知船用物联网风险程度,可实现船用物联网安全状态高精度识别,具有较高的实际应用价值。
The security state identification of marine Internet of things can ensure the normal operation of marine Internet of things.In view of the shortcomings of the current security state identification method of marine Internet of things,in order to obtain the ideal security state identification results of marine Internet of things,a security state identification method of marine Internet of things based on data mining is proposed.Firstly,the uncertain risk factors of the marine Internet of things are collected and taken as the antigen information set.After calculating the risk signal,the concentration result of the risk signal is output;Data mining technology is used to obtain the risk value faced by the marine Internet of things,and the possibility of risk is taken as the safety state identification standard to complete the safety state identification of modern marine Internet of things.The test results show that this method can accurately perceive the risk degree of marine Internet of things,realize the safety and high-precision identification of marine internet of things,and has high practical application value.
作者
齐剑
QI Jian(Hebei Institute of International Business and Economics College,Qinhuangdao 066311,China)
出处
《舰船科学技术》
北大核心
2021年第22期148-150,共3页
Ship Science and Technology
基金
河北省高等学校科学技术研究项目(ZC2021217)
关键词
数据挖掘技术
船用物联网络
安全状态识别
测试结果
data mining technology
marine IOT network
safety status identification
test result
