摘要
为了保证陆态网络敏感信息多级纵深过滤的效率和时效性,针对当前方法敏感信息过滤效率低、过滤时间长的问题,提出基于ST-DFA的陆态网络敏感信息多级纵深过滤方法。对陆态网络信息做预处理,并利用陆态网络敏感信息的特点来构建网络敏感信息的语料库,检测语料库的初始和结束标记;在此基础上,利用非叶子节点等条件构建敏感信息决策树,能够获取敏感词的数量和敏感词的长度,通过对陆态网络信息流的分析,可以得到决策树的高度,通过对决策树的建立以及对敏感词的分析,将两者相结合,最终实现了陆态网络敏感信息多级纵深过滤。实验结果表明,提出方法在对陆态网络敏感信息多级纵深过滤时,具有较高的过滤效率,并且过滤时间较短,具有较好的时效性。
In order to ensure the efficiency and timeliness of multistage depth filtering of sensitive information in Crustal Movement Observation Network of China,a multistage depth filtering method for sensitive information in Crustal Movement Observation Network of China based on ST-DFA was proposed.Through pretreatment of information in Crustal Movement Observation Network of China,the characteristics of sensitive information were used to construct the corpus of network sensitive information.Then,initial tag and ending tag of corpus were detected.On this basis,none-leaf nodes were used to construct the sensitive information decision tree,so that the number of sensitive words and the length of sensitive words could be obtained.By analyzing the information flow,the height of decision tree could be obtained.By establishing the decision tree and analyzing sensitive words,multistage depth filtering of sensitive information in Crustal Movement Observation Network of China was achieved.Simulation results show that the proposed method has higher filtering efficiency during the multistage depth filtering of sensitive information.Meanwhile,the filtering time is shorter,which has better timeliness.
作者
张运香
白建明
金升灿
ZHANG Yun-xiang;BAI Jian-ming;JIN Sheng-can(Jiamusi University Business School,Jiamusi Heilongjiang 154007,China)
出处
《计算机仿真》
北大核心
2019年第5期466-470,共5页
Computer Simulation
关键词
陆态网络
敏感信息
多级纵深
滤波器
Crustal Movement Observation Network of China
Sensitive information
Multistage depth
Filter
作者简介
张运香(1979-),女(汉族),黑龙江绥化人,讲师,主要職方向:醜与新媒体;白建明(1961-),男(汉族),黑龙江人,教授,主要研究方向:科学技术;金升灿(1963-),男(朝鲜族),黑龙江勃利县人,教授,主要研究方向:多媒体技术。
