Application of Machine Learning Classification Algorithm to Cybersecurity Awareness

Autor:	Shilpa Balan, Priyanka Purushu, Sanchita Gawand
Rok vydání:	2018
Předmět:	cybersecurity business.industry Computer science Big data ComputingMilieux_LEGALASPECTSOFCOMPUTING Data breach Computer security computer.software_genre Statistical classification classification Identity theft Machine learning business Algorithm computer machine learning
Zdroj:	Information Technology and Management Science Information Technology and Management Science; Vol 21 (2018): Information Technology and Management Science; 45-48
ISSN:	2255-9094 2255-9086
DOI:	10.7250/itms-2018-0006
Popis:	Cybersecurity plays a vital role in protecting the privacy and data of people. In the recent times, there have been several issues relating to cyber fraud, data breach and cyber theft. Many people in the United States have been a victim of identity theft. Thus, understanding of cybersecurity plays an important role in protecting their information and devices. As the adoption of smart devices and social networking are increasing, cybersecurity awareness needs to be spread. The research aims at building a classification machine learning algorithm to determine the awareness of cybersecurity by the common masses in the United States. We were able to attain a good F-measure score when evaluating the performance of the classification model built for this study.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d0cfa292fe66254062ed6a23c132800 https://doi.org/10.7250/itms-2018-0006 Zobrazit plný text záznamu