情报杂志2025，Vol.44Issue(6)：109-118,10.DOI:10.3969/j.issn.1002-1965.2025.06.015
面向信息安全自主可控的网络空间风险情报源识别
Identification of Autonomous and Controllable Cyberspace Risk Intelligence Sources for Information Security
摘要
Abstract
[Research purpose]In the context of the digital game of major powers,risk intelligence sources,as the main threat hindering the improvement of China's autonomous and controllable ability in cyberspace information security,need to be identified and deployed with relevant risk-blocking measures in a timely manner.Therefore,constructing an identification model for cyberspace risk intelligence sources has strategic significance.[Research method]This research extracts risk elements from the perspective of risk intelligence sources,depicts the risk characteristics of risk intelligence sources,constructs a random forest model based on different feature combinations to identify risk in-telligence sources,and explores the advantages and disadvantages of model identification results and the importance of features.[Research result/conclusion]The results indicate that the random forest model proposed in this paper is scientific and reasonable in identifying risk in-telligence sources in cyberspace,and the feature combination model based on data leakage risk,information processing risk,and knowledge overflow risk has the best effect in identifying risk intelligence sources,with an accuracy of 0.921.The number of forwards and the probability of sensitive word repetition have a significant impact on the results.关键词
网络空间/信息安全/风险情报源/风险要素/风险特征/随机森林模型Key words
cyberspace/information security/risk intelligence source/risk factors/risk characteristics/random forest model分类
社会科学引用本文复制引用
周颖,刘毅洲,黄微..面向信息安全自主可控的网络空间风险情报源识别[J].情报杂志,2025,44(6):109-118,10.基金项目
国家自然科学基金面上项目"重大突发事件网络舆情受众的参与行为标定、轨迹拟合与靶向导控研究"(编号:72174072)研究成果. （编号:72174072）
