DocumentCode
1869120
Title
Socellbot: A new botnet design to infect smartphones via online social networking
Author
Faghani, M.R. ; Uyen Trang Nguyen
Author_Institution
Dept. of Comput. Sci. & Eng., York Univ., Toronto, ON, Canada
fYear
2012
fDate
April 29 2012-May 2 2012
Firstpage
1
Lastpage
5
Abstract
Given the popularity of both smartphones and online social networking, it is only a matter of time before attackers exploit both to launch new types of attacks. In this paper, we propose a new cellular botnet named SoCellBot that exploits online social networks (OSNs) to recruit bots and uses OSN messaging systems as communication channels between bots. Our proposed botnet is the first that uses the OSN platform as a means to control cellular bots. The structure and characteristics of OSNs make this botnet harder to detect, more resilient to bot failures and more cost-effective to cellular bots. Our objective is to raise awareness of new mobile botnets that exploit OSNs to recruit bots so that preventive measures can be implemented to deter this kind of attack in the future. We also analyze the behaviors of the proposed botnet via simulation to offer a better understanding of this new type of botnet.
Keywords
mobile computing; security of data; smart phones; social networking (online); OSN messaging systems; Socellbot; botnet design; cellular botnet; mobile botnets; online social networking; smartphones; Command and control systems; Malware; Mobile communication; Simulation; Smart phones; Social network services; Topology; Network security; cellular botnet; malware; mobile botnet; online social networking;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
Conference_Location
Montreal, QC
ISSN
0840-7789
Print_ISBN
978-1-4673-1431-2
Electronic_ISBN
0840-7789
Type
conf
DOI
10.1109/CCECE.2012.6334962
Filename
6334962
Link To Document