On the impact of social botnets for spam distribution and digital-influence manipulation

Jinxue Zhang; Rui Zhang; Yanchao Zhang; Guanhua Yan

doi:10.1109/CNS.2013.6682691

On the impact of social botnets for spam distribution and digital-influence manipulation

Jinxue Zhang, Rui Zhang, Yanchao Zhang, Guanhua Yan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

28 Scopus citations

Abstract

Online social networks (OSNs) are increasingly threatened by social bots which are software-controlled OSN accounts that mimic human users with malicious intentions. A social botnet refers to a group of social bots under the control of a single botmaster, which collaborate to conduct malicious behavior, while at the same time mimicking the interactions among normal OSN users to reduce their individual risk of being detected. We demonstrate the effectiveness and advantages of exploiting a social botnet for spam distribution and digital-influence manipulation through real experiments on Twitter and also trace-driven simulations. Our results can help understand the potentially detrimental effects of social botnets and help OSNs improve their bot(net) detection systems.

Original language	English (US)
Title of host publication	2013 IEEE Conference on Communications and Network Security, CNS 2013
Publisher	IEEE Computer Society
Pages	46-54
Number of pages	9
ISBN (Print)	9781479908950
DOIs	https://doi.org/10.1109/CNS.2013.6682691
State	Published - Jan 1 2013
Event	1st IEEE International Conference on Communications and Network Security, CNS 2013 - Washington, DC, United States Duration: Oct 14 2013 → Oct 16 2013

Publication series

Name	2013 IEEE Conference on Communications and Network Security, CNS 2013

Other

Other	1st IEEE International Conference on Communications and Network Security, CNS 2013
Country/Territory	United States
City	Washington, DC
Period	10/14/13 → 10/16/13

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1109/CNS.2013.6682691

Cite this

Zhang, J., Zhang, R., Zhang, Y., & Yan, G. (2013). On the impact of social botnets for spam distribution and digital-influence manipulation. In 2013 IEEE Conference on Communications and Network Security, CNS 2013 (pp. 46-54). [6682691] (2013 IEEE Conference on Communications and Network Security, CNS 2013). IEEE Computer Society. https://doi.org/10.1109/CNS.2013.6682691

On the impact of social botnets for spam distribution and digital-influence manipulation. / Zhang, Jinxue; Zhang, Rui; Zhang, Yanchao; Yan, Guanhua.

2013 IEEE Conference on Communications and Network Security, CNS 2013. IEEE Computer Society, 2013. p. 46-54 6682691 (2013 IEEE Conference on Communications and Network Security, CNS 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhang, J, Zhang, R, Zhang, Y & Yan, G 2013, On the impact of social botnets for spam distribution and digital-influence manipulation. in 2013 IEEE Conference on Communications and Network Security, CNS 2013., 6682691, 2013 IEEE Conference on Communications and Network Security, CNS 2013, IEEE Computer Society, pp. 46-54, 1st IEEE International Conference on Communications and Network Security, CNS 2013, Washington, DC, United States, 10/14/13. https://doi.org/10.1109/CNS.2013.6682691

@inproceedings{40cac51bf9334864a54f975ed7ea36ca,

title = "On the impact of social botnets for spam distribution and digital-influence manipulation",

abstract = "Online social networks (OSNs) are increasingly threatened by social bots which are software-controlled OSN accounts that mimic human users with malicious intentions. A social botnet refers to a group of social bots under the control of a single botmaster, which collaborate to conduct malicious behavior, while at the same time mimicking the interactions among normal OSN users to reduce their individual risk of being detected. We demonstrate the effectiveness and advantages of exploiting a social botnet for spam distribution and digital-influence manipulation through real experiments on Twitter and also trace-driven simulations. Our results can help understand the potentially detrimental effects of social botnets and help OSNs improve their bot(net) detection systems.",

author = "Jinxue Zhang and Rui Zhang and Yanchao Zhang and Guanhua Yan",

year = "2013",

month = jan,

day = "1",

doi = "10.1109/CNS.2013.6682691",

language = "English (US)",

isbn = "9781479908950",

series = "2013 IEEE Conference on Communications and Network Security, CNS 2013",

publisher = "IEEE Computer Society",

pages = "46--54",

booktitle = "2013 IEEE Conference on Communications and Network Security, CNS 2013",

note = "1st IEEE International Conference on Communications and Network Security, CNS 2013 ; Conference date: 14-10-2013 Through 16-10-2013",

}

TY - GEN

T1 - On the impact of social botnets for spam distribution and digital-influence manipulation

AU - Zhang, Jinxue

AU - Zhang, Rui

AU - Zhang, Yanchao

AU - Yan, Guanhua

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Online social networks (OSNs) are increasingly threatened by social bots which are software-controlled OSN accounts that mimic human users with malicious intentions. A social botnet refers to a group of social bots under the control of a single botmaster, which collaborate to conduct malicious behavior, while at the same time mimicking the interactions among normal OSN users to reduce their individual risk of being detected. We demonstrate the effectiveness and advantages of exploiting a social botnet for spam distribution and digital-influence manipulation through real experiments on Twitter and also trace-driven simulations. Our results can help understand the potentially detrimental effects of social botnets and help OSNs improve their bot(net) detection systems.

AB - Online social networks (OSNs) are increasingly threatened by social bots which are software-controlled OSN accounts that mimic human users with malicious intentions. A social botnet refers to a group of social bots under the control of a single botmaster, which collaborate to conduct malicious behavior, while at the same time mimicking the interactions among normal OSN users to reduce their individual risk of being detected. We demonstrate the effectiveness and advantages of exploiting a social botnet for spam distribution and digital-influence manipulation through real experiments on Twitter and also trace-driven simulations. Our results can help understand the potentially detrimental effects of social botnets and help OSNs improve their bot(net) detection systems.

UR - http://www.scopus.com/inward/record.url?scp=84893546328&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893546328&partnerID=8YFLogxK

U2 - 10.1109/CNS.2013.6682691

DO - 10.1109/CNS.2013.6682691

M3 - Conference contribution

AN - SCOPUS:84893546328

SN - 9781479908950

T3 - 2013 IEEE Conference on Communications and Network Security, CNS 2013

SP - 46

EP - 54

BT - 2013 IEEE Conference on Communications and Network Security, CNS 2013

PB - IEEE Computer Society

T2 - 1st IEEE International Conference on Communications and Network Security, CNS 2013

Y2 - 14 October 2013 through 16 October 2013

ER -

On the impact of social botnets for spam distribution and digital-influence manipulation

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this