船舶网络的用户访问安全性机制分析

Analysis of user access security mechanism in ship network

传统的网络用户访问安全性机制存在着恶意用户识别时间长的缺陷,为此提出船舶网络的用户访问安全性机制分析研究。采用APK软件对船舶网络用户访问数据进行采集,利用JAIA语言对采集的数据进行预处理,以上述处理好的船舶网络用户访问数据为依据,对其数据异常进行检测得到船舶网络用户访问数据异常主题,以其为基础对相关特征量进行提取,以提取的特征量为依据采用用户识别算法对恶意用户进行识别,实现了船舶网络的用户访问安全性机制的运行。通过实验得到,提出的船舶网络的用户访问安全性机制的恶意用户识别时间比传统机制快了4 s,说明提出的船舶网络的用户访问安全性机制具备极高的有效性。

The traditional network user access security mechanism has the shortcoming of long time of malicious user identification. Therefore, this paper puts forward the analysis and Research on the user access security mechanism of ship network. APK software is used to collect the access data of ship network users, and JAIA language is used to preprocess the collected data. Based on the above-mentioned access data of ship network users, the abnormal subject of ship network users’ access data is detected by abnormal data. Based on the abnormal subject, the relevant feature quantities are extracted,and the extracted feature quantities are based on the users. The identification algorithm identifies malicious users and realizes the operation of user access security mechanism in ship network. Experiments show that the malicious user identification time of the proposed user access security mechanism is 4 s faster than that of the traditional mechanism, which shows that the proposed user access security mechanism of the ship network has very high effectiveness.