Title
BAYWATCH: Robust Beaconing Detection to Identify Infected Hosts in Large-Scale Enterprise Networks
Abstract
Sophisticated cyber security threats, such as advanced persistent threats, rely on infecting end points within a targeted security domain and embedding malware. Typically, such malware periodically reaches out to the command and control infrastructures controlled by adversaries. Such callback behavior, called beaconing, is challenging to detect as (a) detection requires long-term temporal analysis of communication patterns at several levels of granularity, (b) malware authors employ various strategies to hide beaconing behavior, and (c) it is also employed by legitimate applications (such as updates checks). In this paper, we develop a comprehensive methodology to identify stealthy beaconing behavior from network traffic observations. We use an 8-step filtering approach to iteratively refine and eliminate legitimate beaconing traffic and pinpoint malicious beaconing cases for in-depth investigation and takedown. We provide a systematic evaluation of our core beaconing detection algorithm and conduct a large-scale evaluation of web proxy data (more than 30 billion events) collected over a 5-month period at a corporate network comprising over 130,000 end-user devices. Our findings indicate that our approach reliably exposes malicious beaconing behavior, which may be overlooked by traditional security mechanisms.
Year
DOI
Venue
2016
10.1109/DSN.2016.50
2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)
Keywords
Field
DocType
Beaconing Detection,Anomaly Detection,Intrusion Detection,Signal Processing
Security domain,Computer science,Command and control,Computer security,Communication channel,Computer network,Robustness (computer science),Callback,Corporate network,Malware,Web proxy,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4673-8892-4
0
0.34
References 
Authors
11
7
Name
Order
Citations
PageRank
Xin Hu1385.40
Jiyong Jang229716.23
Marc Ph. Stoecklin316615.05
Ting Wang466465.43
Douglas Lee Schales512421.65
Dhilung Kirat61748.38
Josyula R. Rao7934115.07