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首页> 外文期刊>International journal of information security and privacy >Extracting and Summarizing the Commonly Faced Security Issues from Community Question Answering Site
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Extracting and Summarizing the Commonly Faced Security Issues from Community Question Answering Site

机译：从社区问题解答站点中提取和总结常见的安全问题

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摘要

Community question-answering (CQA) sites are popular as information-seeking platforms where users communicate to their peers. Security-related posts are gaining popularity with the rapid development of information technology in these sites and. CQA sites contains wide range of posts from classic cryptography to recently popular mobile security. Investigating such posts can be useful for researchers, teachers and developers. In this article, spectral clustering and frequent term-based summarization techniques are proposed for security related posts. The proposed method is developed in three stages. In the first stage, security related folksonomies are created and security post profile matrix is built with the help of tag frequency-inverse security post frequency. In the second stage, security related posts are grouped with help of spectral clustering algorithms. Finally, in the third stage, frequent terms are extracted from each cluster for security related post summarization with the help of frequent words and semantic similarity.
机译：社区问答（CQA）网站是流行的信息搜索平台，用户可以在其中与同龄人进行交流。随着这些站点中信息技术的快速发展，与安全相关的帖子越来越受欢迎。 CQA网站包含从经典加密技术到最近流行的移动安全性的各种帖子。调查此类职位对于研究人员，教师和开发人员可能很有用。在本文中，针对与安全相关的职位提出了频谱聚类和基于频繁术语的汇总技术。所提出的方法分三个阶段开发。在第一阶段，创建与安全相关的民间分类法，并借助标签频率与安全后的频率成反比来建立安全后配置文件矩阵。在第二阶段，与安全相关的帖子通过频谱聚类算法进行分组。最后，在第三阶段中，在频繁单词和语义相似性的帮助下，从每个群集中提取频繁术语以进行与安全相关的帖子摘要。

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