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ABSTRACT
ISSN: 0975-4024
Title |
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ACO-Random Forest Approach to Protect the Kids from Internet Threats through Keystroke |
Authors |
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Soumen Roy, Utpal Roy, D. D. Sinha |
Keywords |
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Keystroke Dynamics, Computer Security, Machine Learning, ACO, Child Protection |
Issue Date |
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July 2017 |
Abstract |
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Internet users from children group are rapidly increasing. They use the Internet for doing their homework to keep in touch with their friends. But they are vulnerable to unknown threats coming from the Internet. Many Government authorities are actively trying to protect the children from these threats. This study is one approach which can distinguish the children from Internet users by analysing the typing behaviour. The moment a user is identified to be a child or minor, the next stage of protection will be auto sensing firewall appropriate for the users. We have taken two public datasets on keystroke dynamics for experimental purpose and applied Ant Colony Optimization (ACO) technique as search methods and Random Forest as a classifier on each dataset. Obtained results are impressive. As per our study, more than 92% of desktop computer users and 84.22% of touch screen mobile users from children group can be protected from the looming threats from the Internet by analysing the typing behaviour on
keyboard or touch screen |
Page(s) |
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279-285 |
ISSN |
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0975-4024 (Online) 2319-8613 (Print) |
Source |
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Vol. 9, No.3S |
PDF |
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Download |
DOI |
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10.21817/ijet/2017/v9i3/170903S044 |
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