{'fraction_non_alphanumeric': 0.024744027303754267, 'fraction_numerical': 0.002559726962457338, 'mean_word_length': 5.627118644067797, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Security Analytics: Dispelling the Fog

This article explores the term “Security analytics” and its different perspectives in up-to-date literature. The research start point is the literature analysis on security analytics topic. Situation awareness leads to the first conclusion that there is no unified definition of what security analytics is and what are its boundaries. Chosen keywords “Security analytics” allowed to select the papers and books from four notable digital libraries to study the perception of the concept. As a result, a classification of security analytics viewpoints is proposed which organizes current research and practical application directions touching security analytics area. The model includes three views: (1) Analytics of the security, containing the most popular and the narrower view to security analytics as cyber threat analysis, (2) Analytics for the security, addressing security issues beyond the cyberspace, and (3) Security of the analytics, considering analytical threats in traditional or machine learning environment. This review paper helps to build a common understanding of the multifaceted area called “Security analytics”.