Abstract
The power of artificial intelligence especially deep learning algorithms led to use them in variety fields such as speech recognition, image processing, bioinformatics, robotics and even cybersecurity. Most of deep learning publications with security approaches focus on implementing an application for boosting accuracy in detecting or predicting attack in verity of infrastructures such as Internet of Thing devices. Although, in spite of many publications with has impact on supporting research activities, there is still no bibliometric report that considers the research trend. This paper aims to provide comprehensive assessment about using deep learning in cybersecurity researches and fill in the gap. All publications of ISI Web of Science database are considered which were about 740 between 2010 and 2018. By using bibliometric analysis, the number of publications along with the number of citations discusses. This paper also presents analysis by focusing on countries and continents, research areas, authors, institutions, terms and keywords.
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