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http://dx.doi.org/10.12673/jkoni.2013.17.6.816

A Study on Cloud Computing for Detecting Cyber Attacks  

Lee, Jun-Won (Division of Computer Engineering, Sungkyunkwan University)
Cho, Jae-Ik (Samsung Electronics)
Lee, Seok-Jun (Division of Computer Engineering, Ajou University)
Won, Dong-Ho (Division of Computer Engineering, Sungkyunkwan University)
Publication Information
Journal of Advanced Navigation Technology / v.17, no.6, 2013 , pp. 816-822 More about this Journal
Abstract
In modern networks, data rate is getting faster and transferred data is extremely increased. At this point, the malicious codes are evolving to various types very fast, and the frequency of occurring new malicious code is very short. So, it is hard to collect/analyze data using general networks with the techniques like traditional intrusion detection or anormaly detection. In this paper, we collect and analyze the data more effectively with cloud environment than general simple networks. Also we analyze the malicious code which is similar to real network's malware, using botnet server/client includes DNS Spoofing attack.
Keywords
Packed technique; Malicious code; Zombie client; Automatic analysis; Anti-malware;
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