DocumentCode
3455083
Title
Flow Based Botnet Detection
Author
Lin, Hsiao-Chung ; Chen, Chia-Mei ; Tzeng, Jui-Yu
Author_Institution
Dept. of Inf. Manage., Nat. Sun Yet-sen Univ., Kaohsiung, Taiwan
fYear
2009
fDate
7-9 Dec. 2009
Firstpage
1538
Lastpage
1541
Abstract
Botnet is a collection of computer hosts exploited by malicious software that is remotely controlled through a command and control channel. More new types of attacks invented based on Botnets. Because of usage of legitimate IRC (Internet Relay Chat) servers to command and control the bots, it is hard to detect and remove Botnets. Flow information may keep the fingerprint of bots and can be used to identify IRC-based Botnets. The proposed method applies flow correlation for grouping the same activities of the same IRC-based bots. After flow correlation, the normal IRC and abnormal IRC traces are identified by scoring technique.
Keywords
Internet; invasive software; command and control channel; flow based botnet detection; flow correlation; flow information; legitimate Internet relay chat servers; malicious software; scoring technique; Command and control systems; Communication channels; Computer viruses; Computer worms; Information management; Internet; Intrusion detection; Monitoring; Relays; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location
Kaohsiung
Print_ISBN
978-1-4244-5543-0
Type
conf
DOI
10.1109/ICICIC.2009.214
Filename
5412278
Link To Document