Abstract
Along with the rapid development of mobile network, the botnet is shifting from traditional network to mobile one. The mobile botnet has already become a focus of future internet security. With wide application of twitter and with its characteristics of real-time, asynchronous and loose coupling communication, the mobile internet becomes a more controllable and more concealed information platform carrier for the mobile botnet. Communication quality of the mobile network SMS service is stable with independent of the communication mechanism. SMS services can provide a stable and robust communication environment for mobile botnet. This paper puts forward a mobile botnet based upon twitter and SMS control. Based on this, the author puts forward two common algorithm for network topologies according to real application environment, and with simulation analysis, the author proves the twitter- and SMS-control-based mobile botnet is superior with its invisibility, robustness and flexibility.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Wang, P., Sparks, S., Zou, C.: An Advanced Hybrid Peer-to-peer Botnet. In: Proc. USENIX HotBots 2007, p. 2 (2007)
Holz, T., Gorecki, C., Rieck, C., et al.: Detection and mitigation of fast-flux service networks. In: Proc. of the 15th Annual Network and Distributed System Security Symposium. USENIX, Berkeley (2008)
Stone-Gross, B., Cova, M., Cavallaro, L., et al.: Your botnet is my botnet; Analysis of a botnet takeover. In: Proc. of the 16th ACM Conf on Computer and Communications Security, pp. 635–647. ACM, New York (2009)
Cui, X., Fang, B., Yin, L., et al.: Andbot: Towards advanced mobile botnets. In: Proc. of the 4th Usenix Workshop on Large-scale Exploits and Emergent Threats. USENIX, Berkeley (2011)
Geer, D.: Malicious bots threaten network security. Computer 38(1), 18–20 (2005)
Guo, W., Zhai, L., Guo, L., Shi, J.: Worm Propagation Control Based on Spatial Correlation in Wireless Sensor Network. In: Wang, H., Zou, L., Huang, G., He, J., Pang, C., Zhang, H.L., Zhao, D., Yi, Z. (eds.) APWeb 2012 Workshops. LNCS, vol. 7234, pp. 68–77. Springer, Heidelberg (2012)
Brown, J., Shipman, B., Vetter, R.: SMS: The Short Message Service. Computer 40(12), 106–110 (2007)
Boyd, D., Golder, S., Lotan, G.: Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter. In: Proc. of 43rd Hawaii International Conference on System Sciences(HICSS), pp. 1–10 (2011)
Perera, R.D.W.: Twitter Analytics: Architecture, Tools and Analysis. In: Proc. of Conference on Military Communications, pp. 2186–2191 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, Y., Zhai, L., Wang, Z., Ren, Y. (2013). Control Method of Twitter- and SMS-Based Mobile Botnet. In: Yuan, Y., Wu, X., Lu, Y. (eds) Trustworthy Computing and Services. ISCTCS 2012. Communications in Computer and Information Science, vol 320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35795-4_81
Download citation
DOI: https://doi.org/10.1007/978-3-642-35795-4_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35794-7
Online ISBN: 978-3-642-35795-4
eBook Packages: Computer ScienceComputer Science (R0)