DocumentCode
623974
Title
Detecting encrypted botnet traffic
Author
Han Zhang ; Papadopoulos, Christos ; Massey, Dan
Author_Institution
Comput. Sci. Dept., Colorado State Univ., Fort Collins, CO, USA
fYear
2013
fDate
14-19 April 2013
Firstpage
3453
Lastpage
1358
Abstract
Bot detection methods that rely on deep packet inspection (DPI) can be foiled by encryption. Encryption, however, increases entropy. This paper investigates whether adding highentropy detectors to an existing bot detection tool that uses DPI can restore some of the bot visibility. We present two high-entropy classifiers, and use one of them to enhance BotHunter. Our results show that while BotHunter misses about 50% of the bots when they employ encryption, our high-entropy classifier restores most of its ability to detect bots, even when they use encryption.
Keywords
cryptography; entropy; BotHunter; bot detection tool; bot visibility; deep packet inspection; encrypted botnet traffic detection; encryption; entropy; Detectors; Encryption; Entropy; IP networks; Malware; Payloads;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM, 2013 Proceedings IEEE
Conference_Location
Turin
ISSN
0743-166X
Print_ISBN
978-1-4673-5944-3
Type
conf
DOI
10.1109/INFCOM.2013.6567180
Filename
6567180
Link To Document