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Application of Machine Learning Classification Algorithm to Cybersecurity Awareness
Author(s) -
Shilpa Balan,
Sanchita Gawand,
Priyanka Purushu
Publication year - 2018
Publication title -
information technology and management science
Language(s) - English
Resource type - Journals
eISSN - 2255-9094
pISSN - 2255-9086
DOI - 10.7250/itms-2018-0006
Subject(s) - computer security , identity theft , computer science , algorithm , data breach , identity (music) , machine learning , internet privacy , artificial intelligence , acoustics , physics
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.

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