Paper Info
Title
Examining Social Dynamics for Countering Botnet Attacks
Abstract
Even though promising results have been obtained from existing research on bots and associated command and control channels, there is little research in exploring the ways on how bots are created and distributed by adversaries. Consequently, innovative methods that help determine the linkage between the rogue programs and adversaries are imperative for mitigating and combating botnet attacks. Recent study discovers that rogue programs are sold in black markets in online social networks and adversaries use online social networks to coordinate attacks. Correlation of botnet attacks and activities in online underground social networks is crucial to tactically cope with net-centric threats. In this paper, we take the first step toward adversarial behavior identification by modeling social dynamics of underground adversarial communities and tracing the origin of certain malwares and attack events in underground communities. We also describe our evaluation to demonstrate the effectiveness of our approach.
Year
DOI
Venue
2011
10.1109/GLOCOM.2011.6134468
GLOBECOM
Keywords
Field
DocType
underground adversarial community,invasive software,command and control channel,bot creation,social dynamics,adversarial behavior identification,rogue program discovery,online social network,botnet attack countering,botnet attack combating,bot distribution,attack event,botnet attack mitigation,attack coordination,social networking (online),malware,net-centric threat,command and control,indexes,user generated content,indexation,social dynamic,social network
User-generated content,Internet privacy,Social network,Computer security,Botnet,Command and control,Computer science,Computer network,Social dynamics,Malware,Adversarial system
Conference
ISSN
ISBN
Citations 
1930-529X E-ISBN : 978-1-4244-9267-1
978-1-4244-9267-1
3
PageRank 
References 
Authors
0.39
8
3
Name
Order
Citations
PageRank
Ziming Zhao132230.52
Gail-Joon Ahn23012203.39
Hongxin Hu3123082.32