Title

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

Socpus ID

85045991939 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85045991939

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