Security Techniques for Prevention of Rank Manipulation in Social Tagging Services including Robotic Domains

Security Techniques for Prevention of Rank Manipulation in Social Tagging Services including Robotic Domains

With smartphone distribution becoming common and robotic applications on the rise, social tagging services for various applications including robotic domains have advanced significantly. Though social tagging plays an important role when users are finding the exact information through web search, re...

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Main Authors: Okkyung Choi, Hanyoung Jung, Seungbin Moon
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/832638
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spelling doaj-210ca61808394b91a7a3a7fac5d57d982020-11-25T02:31:25ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/832638832638Security Techniques for Prevention of Rank Manipulation in Social Tagging Services including Robotic DomainsOkkyung Choi0Hanyoung Jung1Seungbin Moon2Department of Computer Engineering, Sejong University, Seoul 143-747, Republic of KoreaDepartment of Knowledge Information Engineering, Graduate School of Ajou University, Suwon 443-749, Republic of KoreaDepartment of Computer Engineering, Sejong University, Seoul 143-747, Republic of KoreaWith smartphone distribution becoming common and robotic applications on the rise, social tagging services for various applications including robotic domains have advanced significantly. Though social tagging plays an important role when users are finding the exact information through web search, reliability and semantic relation between web contents and tags are not considered. Spams are making ill use of this aspect and put irrelevant tags deliberately on contents and induce users to advertise contents when they click items of search results. Therefore, this study proposes a detection method for tag-ranking manipulation to solve the problem of the existing methods which cannot guarantee the reliability of tagging. Similarity is measured for ranking the grade of registered tag on the contents, and weighted values of each tag are measured by means of synonym relevance, frequency, and semantic distances between tags. Lastly, experimental evaluation results are provided and its efficiency and accuracy are verified through them.http://dx.doi.org/10.1155/2014/832638
collection DOAJ
language English
format Article
sources DOAJ
author Okkyung Choi
Hanyoung Jung
Seungbin Moon
spellingShingle Okkyung Choi
Hanyoung Jung
Seungbin Moon
Security Techniques for Prevention of Rank Manipulation in Social Tagging Services including Robotic Domains
The Scientific World Journal
author_facet Okkyung Choi
Hanyoung Jung
Seungbin Moon
author_sort Okkyung Choi
title Security Techniques for Prevention of Rank Manipulation in Social Tagging Services including Robotic Domains
title_short Security Techniques for Prevention of Rank Manipulation in Social Tagging Services including Robotic Domains
title_full Security Techniques for Prevention of Rank Manipulation in Social Tagging Services including Robotic Domains
title_fullStr Security Techniques for Prevention of Rank Manipulation in Social Tagging Services including Robotic Domains
title_full_unstemmed Security Techniques for Prevention of Rank Manipulation in Social Tagging Services including Robotic Domains
title_sort security techniques for prevention of rank manipulation in social tagging services including robotic domains
publisher Hindawi Limited
series The Scientific World Journal
issn 2356-6140
1537-744X
publishDate 2014-01-01
description With smartphone distribution becoming common and robotic applications on the rise, social tagging services for various applications including robotic domains have advanced significantly. Though social tagging plays an important role when users are finding the exact information through web search, reliability and semantic relation between web contents and tags are not considered. Spams are making ill use of this aspect and put irrelevant tags deliberately on contents and induce users to advertise contents when they click items of search results. Therefore, this study proposes a detection method for tag-ranking manipulation to solve the problem of the existing methods which cannot guarantee the reliability of tagging. Similarity is measured for ranking the grade of registered tag on the contents, and weighted values of each tag are measured by means of synonym relevance, frequency, and semantic distances between tags. Lastly, experimental evaluation results are provided and its efficiency and accuracy are verified through them.
url http://dx.doi.org/10.1155/2014/832638
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AT hanyoungjung securitytechniquesforpreventionofrankmanipulationinsocialtaggingservicesincludingroboticdomains
AT seungbinmoon securitytechniquesforpreventionofrankmanipulationinsocialtaggingservicesincludingroboticdomains
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