Automation of Open Sources Data Processing for the Security Assessment

M. Poltavtseva, D.A. Bazarnova
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Abstract

The work is devoted to the automation of security assessment on the basis of open source data. The authors analyzed the work in this area and considered problems of the popular search engines use for automatic data collection and determining the attacker awareness. The authors use data analysis using Named Entity recognition The article presents the developed parameters of the recognition system and the training sample. It presents a data search and processing method and analysis of its effectiveness in detecting in open sources the software and hardware names, where the software or hardware belongs to the organization or object.
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面向安全评估的开源数据处理自动化
该工作致力于基于开源数据的安全评估自动化。作者分析了这一领域的工作,并考虑了用于自动收集数据和确定攻击者意识的流行搜索引擎的问题。采用命名实体识别进行数据分析,给出了识别系统的开发参数和训练样本。提出了一种数据搜索和处理方法,并分析了其在开源软件和硬件名称检测中的有效性,该软件或硬件属于哪个组织或对象。
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