期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2233&2234
页码：399-404
出版社：Newswood and International Association of Engineers
摘要：The numbers of Internet users from the age group
below 18 are rapidly increasing. They use the Internet for doing
their homework to keep in touch with their friends. It is
needless to say that rampant use of Internet has an adverse
effect on the growing age children having diverse curiosity.
They are vulnerable to unknown threats coming from the
Internet. Many Government authorities are actively trying to
protect the children from these threats. But no potential method
has been applied yet. Identification of age group based on face
print, hand geometry, iris texture is common. In this paper, we
are interested to identify the age group (<18≤) based on
analyzing the typing pattern on computer keyboard and touch
screen. This method is convenient way in addition with cost
effective and easy to implement with the existing systems with
minor alternation. This is one approach which can be used to
distinguish the minor from Internet users. 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. The present
study aims at restricting automatically the children from
Internet threats and abuse of their talent in both desktop and
android environments. It has been observed that a user from
age group child could be discriminated from adults by analyzing
the typing style on keyboard as well as on touch screen while
typing.
关键词：Keystroke Dynamics; Machine Learning;
Fuzzy Rough NN (FRNN); Vaguely Quantified Rough Set
(VQRS); Child Protection; libSVM
