A Practical Approach to Constructing a Knowledge Graph for Cybersecurity
A Practical Approach to Constructing a Knowledge Graph for Cybersecurity作者机构：School of Computer Science National University of Defense Technology Changsha 410073 China
出 版 物：《Engineering》 (工程（英文）)
年 卷 期：2018年第4卷第1期
页 面：53-60页
核心收录：
基 金：We are grateful for the support of the National Natural Science Foundation of China (U163215 61472433 61732022 61732004 61672020 and 61502517) and the National Key Research and Development Program (2016YFB0800802 2016YFB0800803 2016YFB0800804 2017YFB0802204 2016QY03D0601 2016QY03D0603 and 2016YFB0800303)
主 题：Cybersecurity Knowledge graph Knowledge deduction
摘 要：Cyberattack forms are complex and varied, and the detection and prediction of dynamic types of attack are always challenging tasks. Research on knowledge graphs is becoming increasingly mature in many fields. At present, it is very significant that certain scholars have combined the concept of the knowledge graph with cybersecurity in order to construct a cybersecurity knowledge base. This paper presents a cybersecurity knowledge base and deduction rules based on a quintuple model. Using machine learning, we extract entities and build ontology to obtain a cybersecurity knowledge base. New rules are then deduced by calculating formulas and using the path-ranking algorithm. The Stanford named entity rec- ognizer （NER） is also used to train an extractor to extract useful information. Experimental results show that the Stanford NER provides many features and the useGazettes parameter may be used to train a rec- ognizer in the cybersecurity domain in preparation for future work.
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