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DBSEC
2010
319views Database» more  DBSEC 2010»
13 years 6 months ago
Detecting Spam Bots in Online Social Networking Sites: A Machine Learning Approach
As online social networking sites become more and more popular, they have also attracted the attentions of the spammers. In this paper, Twitter, a popular micro-blogging service, i...
Alex Hai Wang
AIRWEB
2009
Springer
13 years 11 months ago
Social spam detection
The popularity of social bookmarking sites has made them prime targets for spammers. Many of these systems require an administrator’s time and energy to manually filter or remo...
Benjamin Markines, Ciro Cattuto, Filippo Menczer
CIKM
2009
Springer
13 years 8 months ago
A co-classification framework for detecting web spam and spammers in social media web sites
Social media are becoming increasingly popular and have attracted considerable attention from spammers. Using a sample of more than ninety thousand known spam Web sites, we found ...
Feilong Chen, Pang-Ning Tan, Anil K. Jain
CCS
2010
ACM
13 years 4 months ago
Detecting and characterizing social spam campaigns
Online social networks (OSNs) are popular collaboration and communication tools for millions of users and their friends. Unfortunately, in the wrong hands, they are also effective...
Hongyu Gao, Jun Hu, Christo Wilson, Zhichun Li, Ya...
ACSAC
2010
IEEE
13 years 2 months ago
Detecting spammers on social networks
Social networking has become a popular way for users to meet and interact online. Users spend a significant amount of time on popular social network platforms (such as Facebook, M...
Gianluca Stringhini, Christopher Kruegel, Giovanni...