DocumentCode :
2609576
Title :
Prediction model for botnet-based cyber threats
Author :
Lim, Sun-Hee ; Yun, Seunghwan ; Kim, Jong-Hyun ; Lee, Byung-gil
Author_Institution :
Cyber Security-Convergence Res. Lab., Electron. & Telecommun. Res. Inst., Daejeon, South Korea
fYear :
2012
fDate :
15-17 Oct. 2012
Firstpage :
340
Lastpage :
341
Abstract :
Recent malicious attempts in Cyber-space are intended to emerge cyberwar such as stuxnet as well as to get financial benefits by spam, distributed-of-service(DDoS), identity theft, and phishing through a large pool of comprised hosts, which are called zombies. Botnets are becoming one of the most serious threats to Internet security. We consider that major pre-symptoms of cyber threats are activity and propagation of botnet and propose the prediction model of cyber threats based on botnets.
Keywords :
Internet; computer crime; computer network security; DDoS; Internet security; botnet-based cyber threats; cyber-space; cyberwar; distributed-denial-of-service; identity theft; phishing; prediction model; spam; stuxnet; zombies; Command and control systems; IP networks; Monitoring; Predictive models; Protocols; Security; Servers; DDoS; botnet; prediction; security; threat;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ICT Convergence (ICTC), 2012 International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4673-4829-4
Electronic_ISBN :
978-1-4673-4827-0
Type :
conf
DOI :
10.1109/ICTC.2012.6386855
Filename :
6386855
Link To Document :
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