1. Speaker:Chiang Hong-Ren An Investigation and Implementation of Botnet Detection Schemes

2. Outline 2 2016/2/6 Abstract Introduction Botnet Environment Data analysis Traffic analysis Threshold Random Walk Evaluation Conclusion

3. Abstract 3 2016/2/6 The nature of a Botnet is not specific malware, but instead the metheod, that possibly comprised of thousands or millions hosts controlled by hackers. The tool uses integrated system information to help users to identify unexpected network connections. Since a bot is a program running on a host, its behavior and response time is supra-human and we use the TRW algorithm for online detection.

4. Introduction 4 2016/2/6 To resolve the problem, we analyze about botnet characteristics and propose a botnet emulation toolkit and a detection scheme. How big is the problem?  Vint Cerf presume about one quarter of all computers part of a botnet. Botnet features  Host Control  Command and control  Exploits and attack Assumptions  Observations-Most bots parasited on personal computer that unlike other internet incidents.  Bot herders control bots whole the uptime

5. Botnet environment(1/2) 5 2016/2/6 Fig. 1. Environment topology Support Software  Cygwin- Cygwin is a Linux- like environment for Windows.  SSH- SSH is a network protocol that allows data to be exchanged using a secure channel between two computers.  IRC Server- Hybrid IRC daemon is a daemon for serving and controlling an IRC network.

6. Botnet environment(2/2) 6 2016/2/6 Experiment process  Parameter Setting  Environment Setup  Launch Bots

7. Data analysis(1/2) 7 2016/2/6 Response time - The response time means it start from a sender send a message to a receiver then the receiver get the message and end from the receiver answer the response. Data source  The botnet traffic is monitored in testbed used the emulation toolkit.  we acquired a number of SDbots traces in the herder and bots side.  The herder using a common unix irc client, irssi.  We also collected three kinds of client traffic in difference protocols, such as IRC, HTTP and ssh. Similarity examinations  Temporal similarity - Bots reply the messages at the close time.  All bots receive the same command, the should do the same activity such as connect to the same host.  Even the messages are encrypted, the sizes are still the same.

8. Data analysis(2/2) 8 2016/2/6 Supra-human behaviors Service-like response Quick request

9. Traffic analysis 9 2016/2/6

10. Threshold Random Walk 10 2016/2/6 Accept hypothesis H 1 Accept hypothesis H 0 Need more observations

11. Evaluation 11 2016/2/6

12. Conclusion 12 2016/2/6 The goal of this study is to find a host is a bot or not. We had three implementation that purpose to achieve the goal. Our emulation toolkit combined several script for Emulab that is useful for researchers who are interesting IRC botnet behavior. One basically is a tool integrated several system utilities the other one is a dectection module of IDS bro that based on network analysis.