Understanding Adversarial Strategies From Bot Recruitment To Scheduling
Keywords
Behavioral analysis; Botnets; Distributed denial of service
Abstract
Today botnets are still one of the most prevalent and devastating attacking platforms that cyber criminals rely on to launch large scale Internet attacks. Botmasters behind the scenes are becoming more agile and discreet, and some new and sophisticated strategies are adopted to recruit bots and schedule their activities to evade detection more effectively. In this paper, we conduct a measurement study of 23 active botnet families to uncover some new botmaster strategies based on an operational dataset collected over a period of seven months. Our analysis shows that different from the common perception that bots are randomly recruited in a best-effort manner, bots recruitment has strong geographical and organizational locality, offering defenses a direction and priority when attempting to shut down these botnets. Furthermore, our study to measure dynamics of botnet activity reveals that botmasters start to deliberately schedule their bots to hibernate and alternate in attacks so that the detection window becomes smaller and smaller.
Publication Date
1-1-2018
Publication Title
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume
238
Number of Pages
397-417
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-319-78813-5_20
Copyright Status
Unknown
Socpus ID
85045991939 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85045991939
STARS Citation
Chang, Wentao; Mohaisen, Aziz; Wang, An; and Chen, Songqing, "Understanding Adversarial Strategies From Bot Recruitment To Scheduling" (2018). Scopus Export 2015-2019. 10070.
https://stars.library.ucf.edu/scopus2015/10070