DocumentCode :
1753512
Title :
Multi-level Intrusion Detection System and log management in Cloud Computing
Author :
Lee, Jun-Ho ; Park, Min-Woo ; Eom, Jung-Ho ; Chung, Tai-Myoung
Author_Institution :
Sch. of Inf. Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
fYear :
2011
fDate :
13-16 Feb. 2011
Firstpage :
552
Lastpage :
555
Abstract :
Cloud Computing is a new type of service which provides large scale computing resource to each customer. Cloud Computing systems can be easily threatened by various cyber attacks, because most of Cloud Computing systems provide services to so many people who are not proven to be trustworthy. Therefore, a Cloud Computing system needs to contain some Intrusion Detection Systems(IDSs) for protecting each Virtual Machine(VM) against threats. In this case, there exists a tradeoff between the security level of the IDS and the system performance. If the IDS provide stronger security service using more rules or patterns, then it needs much more computing resources in proportion to the strength of security. So the amount of resources allocating for customers decreases. Another problem in Cloud Computing is that, huge amount of logs makes system administrators hard to analyse them. In this paper, we propose a method that enables Cloud Computing system to achieve both effectiveness of using the system resource and strength of the security service without trade-off between them.
Keywords :
cloud computing; security of data; virtual machines; cloud computing; cyber attacks; log management; multilevel intrusion detection system; virtual machine; Cloud Computing; Cooperative IDS; IDS; Intrusion Detection; Multilevel IDS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology (ICACT), 2011 13th International Conference on
Conference_Location :
Seoul
ISSN :
1738-9445
Print_ISBN :
978-1-4244-8830-8
Type :
conf
Filename :
5745874
Link To Document :
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