摘要： 新型宣传媒介的网络舆情存在大量非法信息。为此，提出一种意会关键词信息取证方法，对中文意会关键词进行定义、分类和量化，给出6种意会关键词提取算法，对提取的证据信息进行完整性处理。实验结果表明，6种算法的提取速度均在毫秒级，查准率和查全率分别达到92%和95%，从而保证在网页舆情监控下非法信息的取证效率。

关键词: 信息取证, 意会关键词, 言传关键词, 中文主动干扰

Abstract: As a new form of media, the Internet public opinion influences the society profoundly. Information forensics is an important aspect in the Internet public opinion monitoring field. To resolve the problem of unhealthy information forensics, an information forensics technique for tacit keywords is presented. It defines the term of tacit keywords, then classifies and quantifies tacit keywords. Six algorithms of tacit keywords extracted for information forensics are proposed. Based on the algorithms, the integrity of the evidence information is protected with Hash function. Experimental results show all the extraction time of the six algorithms presented controls in the ms grade, and the accurate rate and recall rate are up to 92% and 95%. This indicates that the presented information forensics technique is effective.

Key words: information forensics, tacit keyword, explicit keyword, active jamming in Chinese

中图分类号: 

• TP309