Title :
DR-SNBot: A Social Network-Based Botnet with Strong Destroy-Resistance
Author :
Tao Yin ; Yongzheng Zhang ; Shuhao Li
Author_Institution :
Inst. of Inf. Eng., Univ. of Chinese Acad. of Sci., Beijing, China
Abstract :
Social network-based botnets have become an important research direction of botnets. To avoid the single-point failure of existing centralized botnets, we propose a Social Network-based Botnet with strong Destroy-Resistance (DR-SNBot). By enhancing the security of the Command and Control (C&C) channel and introducing a divide-and-conquer and automatic reconstruction mechanism, we greatly improve the destroy-resistance of DR-SNBot. Moreover, we design the pseudo code for nickname generation algorithm, botmaster and bot respectively. Then, we construct the DR-SNBot via sin a blog and make simulated experiments to evaluate it. Furthermore, we make comparisons of controllability between botnets Mrrbot and DR-SNBot. The experimental results indicate that DRSNBot is more resilient. It is not only available in real-world environment, but also resistant enough to varying degrees of C&C-server removals in simulated environment.
Keywords :
command and control systems; divide and conquer methods; invasive software; social networking (online); C&C channel; C&C-server removals; Command and Control channel; DR-SNBot; botmaster; botnets Mrrbot; centralized botnets; divide-and-conquer and automatic reconstruction mechanism; nickname generation algorithm; single-point failure; social network-based botnet; strong destroy-resistance; Blogs; Computer architecture; Image reconstruction; Registers; Security; Servers; Social network services; botnet; command and control channel; network security; reconstruction mechanism; social networks;
Conference_Titel :
Networking, Architecture, and Storage (NAS), 2014 9th IEEE International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/NAS.2014.37