DocumentCode :
3194977
Title :
Study on the Development of Early Warning Model for Cyber Attack
Author :
Kim, So Jeong ; Hong, Soonjwa
Author_Institution :
Policy & Res. Planning Dept., Electron. & Telecommun. Res. Inst., Daejeon, South Korea
fYear :
2011
fDate :
26-29 April 2011
Firstpage :
1
Lastpage :
8
Abstract :
To know and exactly what´s going on in Cyberworld is impossible. Thus, it is also very hard to forecast what is going to happen and what will be the outcome of a certain event. Actually, every manipulating or exploiting of cyber resources is done without any recognition. Thus policy makers currently faces the daunting challenge of identifying the actors responsible for launching politically motivated cyber attacks. However, all human behaviors have a kind of patterns online and offline. This paper is trying to predict politically motivated cyber attack before that attack is happening with these patterns. It only applies to those politically motivated cyber attack because those patterns were motivated political will thus it shows more than technical signals. We´ve had lots of attacks from many sources without any reasonable purpose. Especially, ROK has been confronted DPRK since it´s armistice in 1953. Cyberworld has been the most charming powers of DPRK which doesn´t need any powerful and enormous economic and military effects. With this circumstances, we analyze the Moran Model of politically motivated cyber attack and put it 7.7 DDoS attack in 2009. Through this analysis, we try to have one possibility to predict what is going on the Cyberworld.
Keywords :
security of data; socio-economic effects; DDoS attack; DPRK; ROK; cyberworld; early warning model; economic effects; military effects; policy makers; politically motivated cyber attacks; Computer crime; Computers; Cyberspace; Government; Military computing; Reconnaissance; Terrorism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Applications (ICISA), 2011 International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-9222-0
Electronic_ISBN :
978-1-4244-9223-7
Type :
conf
DOI :
10.1109/ICISA.2011.5772414
Filename :
5772414
Link To Document :
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