You are hereHome › Hal Marcus College of Science & Engineering (CSE) › Department of Mathematics and Statistics › Amin, Raid › The spatial analysis of the malicious Uniform Resource Locators (URLs) Style APAChicagoHarvardIEEEMLATurabian Choose the citation style. Amin, R. W., Sevil, H. E., Kocak, S., Francia III, G., & Hoover, P. (2021). The spatial analysis of the malicious Uniform Resource Locators (URLs). The spatial analysis of the malicious Uniform Resource Locators (URLs) Details Type Academic Journal Article Title The spatial analysis of the malicious Uniform Resource Locators (URLs) Date 2021 Use/Reproduction 2020 by the authors. LicenseeMDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the CreativeCommonsAttribution (CCBY) license (https://creativecommons.org/licenses/by/4.0/). Abstract In this study, we aimed to identify spatial clusters of countries with high rates of cyber attacks directed at other countries. The cyber attack dataset was obtained from Canadian Institute for Cybersecurity , with over 110,000 Uniform Resource Locators (URLs), which were classified into one of 5 categories: benign, phishing, malware, spam, or defacement. The disease surveillance software SaTScanTM was used to perform a spatial analysis of the country of origin for each cyber attack. It allowed the identification of spatial and space-time clusters of locations with unusually high counts or rates of cyber attacks. Number of internet users per country obtained from the 2016 CIAWorld Factbook was used as the population baseline for computing rates and Poisson analysis in SaTScanTM. The clusters were tested for significance with a Monte Carlo study within SaTScanTM, where any cluster with p < 0.05 was designated as a significant cyber attack cluster. Results using the rate of the different types of malicious URL cyber attacks are presented in this paper. This novel approach of studying cyber attacks from a spatial perspective provides an invaluable relative risk assessment for each type of cyber attack that originated from a particular country. Subject(s) Uniform Resource Locators (URLs)cyber attackspatial analysis PID uwf:24264