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CCS
2015
ACM
3 years 11 months ago
Detecting Clusters of Fake Accounts in Online Social Networks
Fake accounts are a preferred means for malicious users of online social networks to send spam, commit fraud, or otherwise abuse the system. A single malicious actor may create do...
Cao Xiao, David Mandell Freeman, Theodore Hwa
CCS
2015
ACM
3 years 11 months ago
Thwarting Fake OSN Accounts by Predicting their Victims
Traditional defense mechanisms for fighting against automated fake accounts in online social networks are victim-agnostic. Even though victims of fake accounts play an important ...
Yazan Boshmaf, Matei Ripeanu, Konstantin Beznosov,...
TSP
2016
58views more  TSP 2016»
3 years 11 months ago
Joint Community and Anomaly Tracking in Dynamic Networks
Abstract—Most real-world networks exhibit community structure, a phenomenon characterized by existence of node clusters whose intra-edge connectivity is stronger than edge connec...
Brian Baingana, Georgios B. Giannakis
CCS
2010
ACM
9 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...
AAAI
2012
7 years 6 months ago
Discovering Spammers in Social Networks
As the popularity of the social media increases, as evidenced in Twitter, Facebook and China’s Renren, spamming activities also picked up in numbers and variety. On social netwo...
Yin Zhu, Xiao Wang, ErHeng Zhong, Nathan Nan Liu, ...
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