Making tagging systems resistant to tricky spam attacks

doi:10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.169

科研成果详情

题名	Making tagging systems resistant to tricky spam attacks
作者	Li，Zhou; Tang，Cong; Hu，Jianbin; Chen，Zhong
发表日期	2016-07-20
会议名称	Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
会议录名称	Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
页码	871-879
会议日期	2015-08-10——2015-08-10
会议地点	chn,Beijing
摘要	Tagging systems are known vulnerable to tag spam. While there have been efforts aiming at addressing this problem, tricky spam attackers could exploit and leverage vulnerabilities within them to invalidate these seemingly robust efforts. Rather than fully solving the problem of tricky spam attacks which has been demonstrated almost impossible, this paper aims to mitigate the effect from tricky spam attacks, providing high-quality tag search results to normal users. To achieve this goal, we leverage two key insights exploited from current tagging systems, 1) altruistic users and 2) social networking context, to design a novel reputation-based spam-resistant approach. With our approach, it would be very high probability for normal users to pick their expected content from tag search results, thus decreasing the effect of tag spam. Our experimental results indicate the approach makes at best-effort defense against tricky spam attacks and work better than existing efforts.
DOI	10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.169
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-84983373223
引用统计
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/13506
专题	个人在本单位外知识产出
作者单位	School of EECS, Peking University, China, Key Laboratory of High Confidence Software Technologies, Ministry of Education, China
推荐引用方式 GB/T 7714	Li，Zhou,Tang，Cong,Hu，Jianbinet al. Making tagging systems resistant to tricky spam attacks[C], 2016: 871-879.