Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
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¿µ¹®Á¦¸ñ(English Title) |
Improvement of Methods for Discriminating Harmful Web Sites by using Link Relations between Web Sites and Constructing Whitelist |
ÀúÀÚ(Author) |
±èº´Áø
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Boungjin Kim
Sangjun Lee
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¿ø¹®¼ö·Ïó(Citation) |
VOL 25 NO. 10 PP. 0506 ~ 0510 (2019. 10) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
This study proposes a solution to the problem of the harmful site discrimination method using the link relation between web sites. In the existing discrimination method, many non-harmful sites are mis discriminated as harmful sites. In order to solve the problems associated with the existing harmful site collection method, this study creates a whitelist based on empirical data and implements a whitelist generation algorithm through modularization. This study confirms the validity of this method by constructing a white database with non-harmful sites and using this database to reduce the existing discrimination method¡¯s possibility of misidentification.
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Å°¿öµå(Keyword) |
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µ¥ÀÌÅͺ£À̽º
À¯ÇØ»çÀÌÆ®
À¥»çÀÌÆ® ¿¬°á °ü°è
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big data
database
harmful websites
link relations between websites
web crawling
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